Marcação: Precision Agriculture

A ampla adoção da agricultura de precisão pode ser atribuída a diversas tecnologias essenciais: telefones celulares, drones, satélites e sensores instalados no local. Mesmo que nem todas sejam novidades, o fato de estarem se tornando mais acessíveis e com preços mais razoáveis as torna cada vez mais relevantes para agricultores em todo o mundo.

No entanto, apesar da visão geralmente otimista, muitos obstáculos precisam ser superados antes que os pequenos agricultores possam implementar essas soluções. O conceito dos “Cinco As do Acesso à Tecnologia”, que consiste em “disponibilidade”, “acessibilidade financeira”, “conscientização”, “capacidade” e “autonomia”, é uma estrutura útil para analisar essas diversas dificuldades.

Em muitas regiões do mundo, a disponibilidade de tecnologias de agricultura de precisão pode ser severamente limitada por razões como a deficiência na infraestrutura digital necessária para suportar tais soluções (por exemplo, energia elétrica ou internet).

Embora estejam disponíveis, muitos agricultores podem não ter condições financeiras para adquiri-las. Por exemplo, os agricultores podem não ter condições de comprar um smartphone com conexão à internet, um pré-requisito essencial para muitas tecnologias de agricultura de precisão.

Mesmo quando soluções viáveis são acessíveis e economicamente viáveis, os agricultores podem desconhecer sua existência. O mesmo ocorre com diversos outros serviços tecnológicos oferecidos por organizações públicas e privadas. Existe ainda a possibilidade de que os agricultores não possuam o nível de alfabetização e as habilidades tecnológicas necessárias para utilizar essas soluções.

Em uma pesquisa realizada pela GSMA, entrevistados de países de baixa e média renda que estavam familiarizados com a internet móvel disseram que essa era a principal barreira que os impedia de usar a internet.

Por fim, os agricultores que pertencem a grupos desfavorecidos, como as mulheres agricultoras, podem não ter "capacidade de ação" devido aos muitos obstáculos socioculturais que se interpõem em seu caminho e os impedem de obter acesso a soluções tecnológicas.

Para superar esses obstáculos, são necessárias intervenções nos níveis operacional e político. Isso envolve a criação de soluções centradas no usuário, o desenvolvimento de modelos de negócios e de prestação de serviços criativos e inclusivos e a promulgação de legislação que possibilite a transformação digital do setor.

A natureza multifacetada dos obstáculos destaca a necessidade de uma maior cooperação entre diversas partes interessadas, incluindo os setores governamental e comercial, a sociedade civil e a comunidade acadêmica, para acelerar o uso da tecnologia digital pelos pequenos agricultores.

Tecnologias relevantes para a agricultura de precisão

Nesta seção, apresentaremos uma visão geral das tecnologias de agricultura de precisão mais importantes e relevantes para promover o uso crescente dessas tecnologias.

1. Uso de telefones celulares 

A crescente penetração da internet e dos dispositivos móveis abriu caminho para o desenvolvimento de uma ampla variedade de serviços habilitados para telefones celulares para o setor agrícola.

Esses serviços também são chamados de “serviços m-Agri”. Eles incluem garantir que os agricultores tenham acesso a insumos, empréstimos, seguros e mercados onde possam vender seus produtos.

Os telefones celulares possibilitam a comunicação bilateral entre agricultores e profissionais do setor agrícola, oferecem recursos de monitoramento em tempo real e facilitam a digitalização e a coleta simplificada de dados de campo.

Smartphones equipados com GPS podem facilitar a coleta de dados de localização precisos e permitir a distribuição de informações individualizadas aos agricultores. Dispositivos móveis são um meio muito acessível para disseminar informações e insights utilizando outras tecnologias de agricultura de precisão, como satélites, sensores no local e Veículos Aéreos Não Tripulados (VANTs).

Talvez um telefone com apenas as funções mais básicas e sem nenhuma funcionalidade "inteligente" ofereça aos agricultores diversas possibilidades para acessar informações personalizadas.

Isso possibilita que agricultores que não têm condições financeiras para comprar um smartphone ou que vivem em locais com conectividade mínima ou inexistente à internet possam se beneficiar das tecnologias de agricultura de precisão.

Os serviços de aconselhamento agrícola via celular, que atualmente auxiliam inúmeros agricultores em todo o mundo, são a opção mais comum. Esses serviços também são conhecidos como "extensões digitais".“

Eles podem superar muitas das desvantagens que os extensionistas agrícolas (EAs) enfrentam, como o número insuficiente de profissionais, a eficácia comprovada limitada e a desconfiança dos agricultores em relação às orientações fornecidas pelos EAs.

Os serviços de consultoria são uma estratégia economicamente eficaz para melhorar os resultados agrícolas, embora os impactos dos serviços de consultoria por si só sejam pequenos.

Por exemplo, uma pesquisa descobriu que os agricultores que aumentaram a quantidade de calcário aplicada às suas plantações em resposta a alertas via SMS obtiveram uma relação custo-benefício de até dez para um.

2. Utilização de satélites como tecnologias agrícolas

Os dados espectrais coletados por satélites podem ser usados para construir mapas de índice espectral, que fornecem uma representação visual do estado da fazenda, ao mesmo tempo que orientam o agricultor sobre quais áreas da fazenda precisam de atenção. ARVI, NBR e NDVI São exemplos de índices espectrais usados com frequência.

• O Índice de Vegetação por Diferença Normalizada, ou NDVI, avalia o quão verde está a vegetação e pode servir como um indicador da saúde da cultura em toda a área cultivada.
• O NBR é utilizado tanto para avaliar a extensão da queimada quanto para monitorar incêndios em andamento.
• O ARVI monitora a concentração de partículas em suspensão e permite aos usuários identificar regiões afetadas pela poluição ou mesmo atividades como a agricultura de corte e queima.

Por meio de aplicativos móveis, os agricultores podem obter mapas de fazenda Ilustrando a variação na saúde das culturas dentro de uma mesma propriedade e fornecendo informações de aconselhamento específicas para cada propriedade.

A integração de dados de satélite com diversas outras fontes de dados, como meteorológicos, sensores locais e registros agrícolas (uso de fertilizantes, datas de plantio, etc.), seguida de processamento com algoritmos de aprendizado de máquina, pode fornecer informações ainda mais precisas para os agricultores locais.

Diversas novas empresas oferecem tecnologias para agricultura de precisão. Essas tecnologias incluem soluções para o uso de fertilizantes, bem como previsão de produtividade com base em imagens de satélite.

Os satélites também podem fornecer informações de geolocalização. Auxílios à navegação baseados em satélite, como o GPS, ajudam a coletar detalhes georreferenciados e a identificar localizações precisas em campo.

É necessário para a disposição precisa de sementes, herbicidas e pesticidas, bem como para a gestão do uso sustentável da água e para auxiliar nas práticas agrícolas em geral.

A utilização conjunta de satélites e sistemas de navegação ajuda a caracterizar a variabilidade do solo e das culturas agrícolas, o que permite o uso de métodos de cultivo mais intensivos e eficientes.

3. Utilização de veículos aéreos não tripulados (VANTs) na agricultura de precisão

Combinados com diversas outras tecnologias (sensores múltiplos e tecnologia de taxa variável), os drones são utilizados em etapas sucessivas do ciclo de crescimento das culturas. Isso abrange desde... avaliação do solo desde o plantio de sementes ou a pulverização de culturas até a determinação do momento ideal para a colheita.

Eles têm duas aplicações principais: detectar e reduzir a quantidade de trabalho a ser feito. Drones equipados com câmeras e outros sensores possibilitam a realização de vigilância aérea em tempo real e proporcionam uma perspectiva incomparável da fazenda.

Cargas úteis que podem ser acopladas a drones, semelhantes a sistemas de pulverização, podem reduzir o trabalho manual necessário para tarefas agrícolas específicas, como reconhecimento e aplicação de herbicidas, fertilizantes e inseticidas.

4. Utilização de sensores e da Internet das Coisas (IoT) 

Os produtores podem basear suas escolhas nos dados coletados por sensores instalados no local, que monitoram as características de seus campos e plantações com maior precisão.

Tecnologias de agricultura de precisão, como sensores, são utilizadas em diversas aplicações: plantio e pulverização de precisão, monitoramento de pragas e do solo, irrigação inteligente, monitoramento de produtividade, monitoramento meteorológico e monitoramento ambiental.

A comunicação entre dispositivos precisa ser regida por um conjunto de regras para que os sensores no local possam se comunicar e transmitir dados. O termo "protocolo de rede" refere-se a esse conjunto predeterminado de diretrizes.

Como as diversas redes sem fio normalmente possuem alcances e capacidades de transmissão de dados variáveis, elas são mais adequadas para múltiplas aplicações.

A tecnologia conhecida como Redes de Longo Alcance de Baixa Potência (LPWAN, na sigla em inglês) está ganhando popularidade para uso em aplicações da Internet das Coisas na agricultura.

A LPWAN é ideal para situações em que dispositivos inteligentes se comunicam a uma distância considerável, mas precisam transferir apenas uma quantidade limitada de dados. As tecnologias de rede LPWAN incluem LoRaWAN e NB-IoT, por exemplo.

Além de possuírem uma ampla área de cobertura (até 20 quilômetros), esses sensores também apresentam alta eficiência energética. Como resultado, as baterias que os alimentam podem durar até 15 anos.

Por não depender de 4G ou GPS, o LoRaWAN tornou-se mais popular para uso em tecnologias ou aplicações de agricultura de precisão, proporcionando transferência de dados confiável, além de geolocalização. Isso indica que ele é mais adequado para uso em locais remotos com menor cobertura 4G.

Tecnologias adicionais de agricultura de precisão

A agricultura de precisão está sendo impulsionada por desenvolvimentos tecnológicos como... Tecnologia de taxa variável (VRT), robôs agrícolas e automação.

No entanto, os pequenos agricultores parecem incapazes de implementar essas práticas devido aos altos custos envolvidos, à falta de modelos de negócios aceitáveis e à necessidade de certos níveis de conhecimento técnico.

1. Robótica e automação agrícola

Agricultores de todo o mundo estão recorrendo à robótica em uma infinidade de aplicações, como robôs para capina, tratores autônomos, monitoramento de culturas robôs, incluindo robôs de colheita, para reduzir o número de viagens necessárias para o monitoramento das fazendas, minimizar danos e perdas nas plantações, aumentar a produtividade agrícola e diminuir o consumo de combustível.

O aumento do custo das tecnologias de agricultura de precisão, como os robôs, é a barreira mais significativa para o seu uso generalizado em países subdesenvolvidos.

Por exemplo, em 2017, previa-se que o monitoramento agrícola robótico teria um custo inicial superior a 1.400.000 e um custo operacional anual de 1.400.000 por hectare. O preço de outros robôs móveis projetados para tarefas leves, como capina e poda, pode aumentar rapidamente de 1.400.000 para 1.400.000.

Para tornar os robôs uma opção financeiramente mais viável, diversos modelos de negócio estão sendo investigados.

Por exemplo, o modelo de negócios de uma empresa pode incluir ARaaS, que se refere a "Robôs Agrícolas como Serviço". Ao remunerar os agricultores pelo uso de robôs agrícolas, esse conceito oferece aos pequenos agricultores uma opção financeira conveniente e segura.

2. Tecnologia de Taxa Variável (VRT)

Raramente existe uniformidade nos fatores que determinam a produção agrícola em toda a área cultivada. Além disso, a aplicação de insumos de maneira consistente não garante a máxima produção ou rentabilidade possível.

Para ajudar a maximizar a eficiência dos insumos e, consequentemente, o aumento da produtividade e do lucro em cada talhão, a tecnologia de taxa variável (VRT) consiste em personalizar e variar significativamente as taxas de aplicação de insumos, como fertilizantes, defensivos agrícolas e sementes, em locais apropriados por todo o campo. Isso é feito para maximizar o potencial da área como um todo.

Para a entrega, veículos como drones, tratores e outros robôs agrícolas são equipados com dispositivos que podem operar em taxas variáveis (por exemplo, pulverizadores e espalhadores).

Muitas vezes, os pequenos agricultores não conseguem justificar a compra desse tipo de equipamento devido ao seu custo proibitivo (estimado entre 150.000 e 250.000 TP4T), bem como à complexidade de compreensão e utilização por parte dos agricultores.

A GeoPard é uma empresa de tecnologia de agricultura de precisão autônoma capaz de lidar com quaisquer dados de uma fazenda georreferenciada. Auxiliamos empresas do setor agrícola com soluções de agricultura de precisão, ajudando-as também a tornar suas operações mais eficientes.

Além disso, produtores e consultores agrícolas podem obter agricultura de precisão Tecnologias da nossa empresa. APIs, soluções de marca branca e widgets são alguns dos outros serviços que fornecemos para grandes empresas do agronegócio. Graças a isso, elas podem implementar suas soluções em apenas algumas semanas.

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Perguntas frequentes

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1. Qual das seguintes opções é a razão mais provável pela qual a maioria dos pequenos agricultores evita a tecnologia de agricultura de precisão?

O motivo mais provável pelo qual a maioria dos pequenos agricultores evita a tecnologia de agricultura de precisão é o alto custo inicial associado à adoção e implementação dessas tecnologias. Os pequenos agricultores geralmente têm recursos financeiros limitados e podem perceber a agricultura de precisão como muito cara e inacessível.

Além disso, o acesso limitado ao conhecimento técnico, a falta de infraestrutura e os serviços inadequados de treinamento e suporte também podem impedir que os pequenos agricultores adotem a tecnologia de agricultura de precisão.

2. De que forma o uso da tecnologia GPS dessa maneira beneficia o agricultor?

O uso da tecnologia GPS na agricultura de precisão beneficia os agricultores, fornecendo mapeamento preciso do campo, permitindo a aplicação direcionada de insumos, otimizando as operações agrícolas e facilitando a tomada de decisões baseada em dados.

O mapeamento preciso do campo ajuda os agricultores a compreender as variações dentro de suas lavouras, otimizando a alocação de recursos. A aplicação direcionada de insumos reduz o desperdício e os custos. Máquinas guiadas por GPS melhoram a eficiência operacional, economizando tempo e mão de obra. A coleta e a análise de dados permitem a tomada de decisões informadas para aumentar a produtividade e a lucratividade.

O monitoramento das culturas é uma ferramenta crucial que permite aos agricultores detectar áreas problemáticas e mitigar o risco de perdas de produção.

Monitore facilmente o desenvolvimento da sua lavoura com base nas imagens de satélite mais recentes. Adicione os limites da sua área de cultivo ao sistema e acesse todo o arquivo de imagens de satélite em uma única tela:

• Avaliação das condições de desenvolvimento das culturas.
• Detecção de anomalias na vegetação em tempo quase real.
• Procure locais com diferentes estágios de desenvolvimento da cultura.
• Vista através das nuvens.

Transforme as informações obtidas por meio de imagens de satélite para monitoramento de culturas em ações práticas no campo e beneficie-se das decisões baseadas em dados:

• Detectar a diferença na vegetação da cultura entre as imagens mais recentes e selecionar as áreas prioritárias para a coleta de amostras de tecido.
• Criar mapas de aplicação de taxa variável para proteção de cultivos e fertilização durante a safra, com base em avaliações de campo quase em tempo real, e coletar o relatório de execução.
• Identifique as áreas danificadas do campo após um desastre climático, uma doença ou um ataque de pragas e envie relatórios à seguradora.

Saiba mais

In such context, yield monitoring and mapping are considered by many as the most valuable invention that has happened in farming recently. In this article, we’re going to understand yield-mapping and yield-monitoring and their potential in making our farms more efficient and productive.

Modern agriculture and farming systems are a result of thousands of years of traditional knowledge largely supported by the rapid advancements in science and technology in recent centuries.

The demand for food from the ever-increasing human population keeps on rising every year while critical issues like global warming and climate change threaten the entire sustainability of the current agricultural system. Consequently, the role of technology has never been so bigger in optimizing agricultural production.

What is yield mapping?

Initially introduced in the early 1990s, it is a precision-agriculture tool that involves the process of collecting georeferenced data about the different levels of yield as well as the characteristics like moisture-content, in different parts of the same field.

During harvesting, the harvester measures these parameters using several sensors, and the measurement along with the location where the measurement was taken is recorded using geo-spatial tools. This information is used to generate a map which makes it easier for visualization by the farmers.

Furthermore, the single measurements of yield characteristics are then classified on specific zones or ranges using different colors to produce a range map or a zone classified map. The number of such classifications can be set according to the needs of the farm.

For example, for generating a yield map of a field of corn that has an average production of 250 bushels per acre, classifying the map into areas each having yield of 25 bushels per acre might be appropriate.

However, this depends on the level of precision required and the technology available. Standard yield maps have 5-7 color zones, which increase with increasing requirements in precision.

What are the basic components of a yield mapping or yield monitoring system?

The application of yield mapping in farmlands lets farmers optimize their production by directing inputs to specific areas within the farms that need them the most.

However, the working mechanism behind yield-monitoring requires several essential components integrated into a combined system to generate real-time and highly accurate data and maps.

While the components may vary depending upon the scale of the farm and the type of the crops being monitored, the basic components of the more common grain yield-mapping system include:

• Grain flow-sensor: A grain flow-sensor fitted on the harvester is used to determine the actual quantity of grain being harvested as the harvester moves across the field in real-time.
• Grain moisture-sensor: Grain moisture-sensors are also included in the grain combines that measure the capacitance of the grain. This is done to offset the variations in grains caused by environmental factors like rain, temperature, etc.
• Ground speed-sensor: It is important to measure the speed of the combined harvester for accurate results. This can be done by using either GPS-based information or an actual ground speed sensor that measures speed from wheel rotation.
• GPS-receiver: For geo-coding the measurement made by other sensors, a GPS-receiver is fitted on the grain combine which constantly gives locations to each measurement taken.
• Yield-monitor display: It is the component that is fitted inside the cab of the harvesters where the operator/farmer is located. This provides him/her with real-time processed data on a display screen that is being continuously generated by several sensors.

What is the role of yield monitoring in precision agriculture?

Precision agriculture is the use of technology and data in farming operations so as to determine the type of farm inputs, the level/amount of those inputs, and the precise location within the farm where those inputs should be applied in order to reduce costs, increase productivity and maximize efficiency.

Although yield monitors are being used in agriculture for almost three decades, it is only rapidly starting to form an important part of precision-agricultural applications today.

Yield monitoring is used in precision agriculture because it helps to identify measure and describe the intra-field variability within a cropping system which is exactly what forms the basis of the concept of precision agriculture.

It provides variable data within a single field. This data is generated as a result of a complex interaction between several factors occurring within a farm like a farm management methods, environmental factors, and climatic factors.

As a result, this data becomes a crucial asset when attempting to understand the farm for the application of other precision agricultural tools.

However, there are some hindrances when using this data in the overall precision agriculture systems. One such major hindrance is the maximum temporal variability among the yield data that occurs within the same crop cycle as well on crops from different years.

This variability can be attributed to the complex interaction among several factors mentioned earlier. Moreover, the time when the measurements were taken can also alter the yield data and give an incomplete, if the not inaccurate representation of the farmland productivity.

Besides these, wrongful calibration or system errors are other issues associated with using this data for precision agriculture. So, there are a few things that must be ensured while using yield monitoring data for precision agricultural systems:

• For instance, its data for a single year cannot be used for making precision-farming interventions for another year. Thus, yield data of multiple years must be made available in order to make an accurate and reliable temporal analysis that can be implemented in the field.
• Furthermore, its operations or harvesting operations should be pre-planned and scheduled so as to minimize temporal variability, and the hardware, as well as the software components, should be optimized, well-calibrated and improved.
• Finally, several studies have shown the immense potential of using within-field variability in yield data in making better agronomic decisions by combining it with precision agriculture tools.

What are the benefits of yield mapping?

There are several benefits associated with the application of yield monitoring to generate a yield map of a farm.

However, all of the benefits boil down to the fact that it provides farmers and farmland managers with valuable information in the form of maps that help them understand the high and low production areas of their farms.

This allows them to attribute the level of production to numerous causes so that low production areas can be improved and high production areas can be sustained. In other words, this information can be beneficial to make decisions about:

Soil tillage: Both lack of tillage and excessive tillage can reduce the production of a farm and this can occur on small patches on large farms, especially if a systematic tillage operation was not carried out. Identifying these areas is critical in ensuring a better tillage operation in the next cycle.

Fertilizer Recommendations: VRF (Variable Rate Fertilization) is usually carried out by taking soil samples and soil data analytics. Yield maps can also be referred to for recommending fertilizations because it accounts for the within-field variability. However, the best results with be achieved if they both are used in combination.

Irrigation Requirements: One of the major components of yield monitoring is moisture content. As a result, yield maps are a valuable asset to making irrigation plans. For instance, low production areas in a yield map might be because of high or low irrigation in the present crop cycle. This information is necessary to identify the optimum irrigation level.

Crop Rotation: Yield mapping can give an idea of the appropriate crop rotation as a whole. By referring to yield data generated over the past at different times of the harvesting period, the exact harvest time that yields the most crops can be pinpointed.

Besides collecting yield data, some other benefits of yield-mapping are as follows:

• Financial Benefits: Crop yield maps and yield data are increasingly being used as documentation for securing finances in the form of bank loans, renting, etc. They are used to determine the overall value of the crop.
• Testing new products: In order to test a new product or a crop, the previous yield maps first allow farmers to make educated decisions while introducing it in the field and the yield map obtained afterward gives an accurate indication of the results and the crop’s potentials.
• Farm-based scientific research: In many scientific types of research carried out today on agricultural farms, yield maps are a major part of the scientific process. The data generated in the yield map is analyzed statistically to carry out experimentation or to test out the hypothesis that leads to scientific progress in the field of agriculture.

To sum up, yield mapping of a farm provides insights of great significance to the farmer about his farm which can be used to make educated and calculated decisions to increase the overall productivity, sustainability, and profitability of the farm in many ways.

However, as mentioned earlier, a single-year yield map can give a wrong impression of the actual nature of the field, and thus a systematic application of the yield mapping and monitoring process is important that helps to generate a reliable and accurate multi-year yield map.

The yield map thus produced can either be for a single crop cycle or multi-crop cycles with several crop rotations.

Who can help with yield mapping?

Evidently, yield monitoring can help farmers be better at farming. These powerful tools or processes are obtained by combining software and hardware from varied technological fields like geo-informatics, sensors, digital cartography, Internet of things (IoT), processing, and analytics.

While it might be overwhelming to understand the details of all the components to farmers, the end-user experience of the results can be easily visualized and understood by all.

However, because of the level of precision that is required, it is important to rely on a highly capable service provider like GeoPard.

GeoPard offers a dedicated agri-solution named Yield Data that lets farmers construct field zonas de gestão on maps. It analyzes your yield data and converts it into variable-rate application maps like VRF maps for you.

As mentioned earlier, it has an integrated soil sampling planning feature that makes the results more precise. Backed by a powerful processing capability, GeoPard lets you perform multi-layer analysis and visualize several attributes of the yield data like moisture, mass, volume, fuel consumption, speed, and so on.

A cloud-based platform ensures that your data will never be compromised or lost which is vital to performing multiyear yield mapping of your farm.

 

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Perguntas frequentes

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1. How has the development of yield monitoring become beneficial?

The development of yield monitoring has become beneficial as it enables farmers to make informed decisions about resource allocation for optimal yields. It helps evaluate the performance of different crop varieties and management practices, facilitating better decision-making.

It also helps identify areas of low productivity, allowing farmers to address issues and improve overall farm performance. Additionally, it provides valuable record-keeping and documentation for compliance, financial planning, and historical analysis.

 

O uso de imagens de satélite hiperespectrais na agricultura transformou a maneira como as terras agrícolas são gerenciadas para atender às crescentes demandas da população em expansão diante das mudanças climáticas.

O avanço e a comercialização dessa ferramenta nos últimos tempos se traduziram em uma compreensão e monitoramento acessíveis não apenas de grandes fazendas, mas também de pequenas propriedades rurais em todo o mundo.

É importante compreender o conceito de imagens de satélite hiperespectrais e suas implicações benéficas para os agricultores e as terras agrícolas, bem como a forma de utilizá-las.

Como as imagens de satélite são úteis para a agricultura?

Durante a maior parte da história da humanidade, a agricultura foi uma ciência e prática estritamente ligada à terra. No entanto, o alcance da agricultura hoje se expandiu enormemente, chegando a satélites que orbitam a Terra. Mas como os satélites afetam, de fato, a maneira como cultivamos e produzimos alimentos?

A resposta reside nos fatores dos quais a agricultura depende, como o solo, o clima, a temperatura, o regime de chuvas, o desenvolvimento das culturas, a topografia, entre outros.

Os satélites ou tecnologias espaciais permitem-nos medir e monitorizar facilmente estes fatores, a partir do contacto com os nossos computadores, e a informação assim obtida pode ser utilizada para planear intervenções agrícolas adequadas.

O uso de satélites na agricultura é uma prática que cresce rapidamente. Evoluiu da simples coleta de informações para a execução de operações agrícolas precisas, como, por exemplo, o uso de tratores equipados com GPS para a colheita.

É importante notar que os satélites são usados principalmente para gerar dados geoespaciais precisos de objetos de interesse — terras agrícolas e plantações, no nosso caso. Isso é conseguido através da combinação de mais de três satélites e um conceito conhecido como trilateração.

Além disso, para medir e monitorar os fatores mencionados acima, os satélites são equipados com diversos tipos de sensores de alta capacidade. É pela combinação desses mecanismos que os satélites se tornaram tão úteis na agricultura moderna.

O que é imagem hiperespectral na agricultura de precisão?

A imagem hiperespectral é o processo de obtenção de dados sobre um objeto através da captura das diferentes assinaturas espectrais de todo o espectro eletromagnético da luz, e não apenas da faixa de luz visível refletida ao atingir o objeto.

A captura dessas assinaturas espectrais é feita com a ajuda de sensores de câmera especializados a bordo dos satélites.

Na agricultura, a imagem hiperespectral baseia-se no fato de que quase todos os tipos de culturas apresentam assinaturas espectrais diferentes em diferentes estágios de seu ciclo de vida e em diferentes condições fisiológicas. Essas diferenças podem ser atribuídas a observações esperadas ou inesperadas.

Resultados inesperados podem ser atribuídos a diversos fatores ambientais ou de manejo que alteraram as condições fisiológicas das plantas. Isso pode ser útil na detecção de:

• Nível de umidade do solo
• Diversas doenças
• Composição de culturas para sistemas de policultura
• Infestação de ervas daninhas
• Nível de nutrientes do solo, etc.

Ao estudar e analisar cuidadosamente esses resultados, o agricultor pode facilmente adaptar suas intervenções para otimizar a produção ao longo do tempo e do espaço. De certa forma, a imagem hiperespectral permite que os agricultores entendam o que a cultura precisa.

O processo de imageamento na agricultura é realizado tanto em nível do solo quanto por via aérea. Em nível do solo, o imageamento é feito com robôs ou veículos equipados com sensores hiperespectrais. Para o imageamento hiperespectral aéreo, são utilizados drones (VANTs), bem como imagens de satélite.

Como o mecanismo de funcionamento da imagem hiperespectral envolve a medição precisa da luz e de suas bandas espectrais, mesmo um pequeno movimento ou irregularidade no sistema pode distorcer significativamente os resultados e causar mais danos do que benefícios.

Portanto, é vital utilizar sistemas e serviços confiáveis e precisos para quaisquer operações agrícolas que envolvam imagens hiperespectrais. Por fim, a aplicação de imagens hiperespectrais na agricultura é mais eficaz quando utilizada regularmente ao longo de múltiplos ciclos de cultivo, permitindo uma compreensão e um monitoramento mais precisos das culturas.

Como as imagens espectrais de satélite ajudam os agricultores de precisão?

Os satélites e as tecnologias associadas não estão apenas ajudando os agricultores a gerir as suas explorações agrícolas de forma eficaz; estão a mudar a forma como a agricultura é praticada em todo o mundo.

Os satélites proporcionam aos agricultores uma visão e uma compreensão abrangentes de suas terras agrícolas, a partir de uma perspectiva inimaginável há algumas décadas. As diferentes maneiras pelas quais os satélites auxiliam os agricultores a gerenciar suas propriedades de forma eficaz e sustentável são as seguintes:

• Mapeamento: O primeiro passo na agricultura de precisão com o uso de satélites envolve um mapeamento completo de toda a área cultivada. Isso é especialmente benéfico em grandes propriedades rurais, permitindo que os agricultores identifiquem e priorizem suas terras com base em características espaciais.
• Medição e estudo: Câmeras e sensores multiespectrais instalados nos satélites fornecem, direta ou indiretamente, medições de uma vasta gama de características importantes das terras agrícolas, como saúde das plantações, nutrição, estresse hídrico do solo, estágio de plantio, padrões climáticos, doenças e assim por diante.
• Execução e Monitoramento: Além disso, os dados de satélite e suas funcionalidades são úteis para a operação automatizada de máquinas agrícolas, permitindo a aplicação precisa de diferentes taxas de fertilizantes e padrões de irrigação. Ademais, à medida que as imagens se acumulam ao longo do tempo, elas refletem as características das terras agrícolas e do meio ambiente. Isso auxilia na previsão de eventos futuros, no planejamento e na preparação antecipada para minimizar perdas extremas decorrentes de fatores como secas, mudanças climáticas, surtos de doenças, etc.

Sua utilização na agricultura, incluindo imagens hiperespectrais, se enquadra no amplo conceito de agricultura de precisão. Assim, as imagens de satélite raramente são usadas isoladamente, sendo, em vez disso, um dos elementos da Internet das Coisas (IoT) aplicada à agricultura de precisão.

Imagens de satélite, combinadas com dados coletados em campo, inteligência artificial, análise de big data e disseminação de dados até o nível dos agricultores por meio de smartphones e aplicativos.

Mais precisamente, imagens de alto espectro na agricultura possibilitam o seguinte:

1. Detecção da saúde das culturas:

Diferentes tipos de índices de vegetação, calculados a partir de imagens de satélite multiespectrais, são utilizados para compreender, detectar e monitorar a saúde das plantações. Como mencionado anteriormente, diferentes condições de saúde ou vigor das plantas fazem com que diferentes comprimentos de onda da luz sejam absorvidos ou refletidos.

Os sensores capturam e calculam os índices, e o melhor deles pode ser usado em tempo quase real para gerar estratégias de manejo adequadas. Para entender melhor os diferentes tipos de índices de vegetação e qual escolher, leia este artigo. Blog GeoPard.

2. Estado e propriedades do solo:

Assim como as plantações e suas folhagens apresentam assinaturas espectrais distintas em diferentes condições de saúde, as variações no solo e em suas propriedades também se traduzem em um espectro de luz diferente refletido pelos sensores aéreos.

Por exemplo, o Índice de Brilho do Solo é um desses índices usados para medir e mapear as propriedades do solo. Como propriedades do solo como umidade, níveis de nutrientes, textura, erodibilidade e pH desempenham um papel fundamental no sucesso ou fracasso geral de todo o sistema agrícola, é importante mapear, gerenciar e monitorar o estado do solo com precisão e regularidade.

A amostragem sistemática do solo pode fornecer uma descrição mais precisa das propriedades do solo, mas pode ser dispendiosa e ineficaz em grandes áreas.

Consequentemente, a melhor abordagem combina imagens hiperespectrais com amostragem sistemática em grade do solo para obter um mapa preciso e confiável das diferentes propriedades do solo.

Isso pode ser usado posteriormente para aplicar fertilização VRA. Essa abordagem é a utilizada por... Análise de dados do solo solução fornecida por GeoPard Agricultura.

3. Crescimento da cultura e detecção de tipos de cultura/variedade

A aplicação de imagens de satélite multiespectrais na compreensão e monitoramento do crescimento e da composição das culturas é essencial em sistemas de cultivo múltiplo em grandes propriedades rurais.

Em grandes propriedades agrícolas, diferentes parcelas de terra podem apresentar fatores ambientais localizados que causam desvios no padrão normal de crescimento. Além disso, plantas indesejáveis, como ervas daninhas, podem crescer em áreas que prejudicam o desenvolvimento das principais culturas.

Para monitorar todos esses problemas e garantir que toda a área produza resultados ótimos, as imagens de satélite multiespectrais geram camadas de dados que podem ser comparadas para que você possa tomar decisões informadas.

Além dessas aplicações comuns de imagens hiperespectrais, outras aplicações incluem detecção e alerta precoce de inundações, detecção de incêndios florestais, monitoramento de gado e assim por diante.

Em resumo, as imagens de satélite hiperespectrais têm um enorme potencial e diversas aplicações na agricultura, podendo se transformar em uma prática avançada para lidar com os crescentes desafios do século XXI.

Existem inúmeras maneiras pelas quais os agricultores podem se beneficiar dessa poderosa ferramenta e tornar suas práticas agronômicas mais fáceis, eficazes, sustentáveis e, principalmente, lucrativas.

No entanto, também é evidente que sua aplicação exige um alto nível de precisão e conhecimento, e os agricultores precisam garantir o uso de uma plataforma confiável de provedores de serviços agrícolas, com alta eficiência operacional e expertise técnica.

A GeoPard Agriculture oferece uma ampla gama de soluções agrícolas, todas utilizando plenamente o alcance de imagens de satélite multiespectrais, como Landsat, Sentinel e Planet.

As tecnologias utilizadas possuem altíssima precisão, com resolução de 3 metros e um banco de dados de imagens de vários anos para estabelecer tendências da vegetação. zonas de gestão para as suas terras agrícolas.

Outras funcionalidades do poderoso motor GeoPard incluem processamento em tempo quase real. Monitoramento de Culturas e Dados de Rendimento Utilizando as imagens mais recentes, que podem ser facilmente visualizadas na web e em plataformas de nuvem para dispositivos móveis.

Utilizando todas essas informações e camadas de dados, o GeoPard analisa as características gerais de produtividade das terras agrícolas e prescreve taxas variáveis de insumos, como fertilizante, irrigação, ou espécies de cultivo para suas terras agrícolas com o objetivo de aprimorar suas práticas agronômicas de uma perspectiva sustentável e financeira.

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Perguntas frequentes

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1. Como obter imagens de satélite para uma fazenda?

Para obter imagens para sua fazenda, comece pesquisando fornecedores confiáveis que ofereçam serviços focados no setor agrícola, como... GeoPard. Selecione um plano de serviço adequado com base em fatores como resolução da imagem e frequência de atualizações. Após a assinatura, acesse as imagens por meio da plataforma ou das ferramentas do provedor e baixe as imagens da sua área agrícola. Utilize essas imagens para monitorar a saúde das plantações, identificar áreas problemáticas e tomar decisões embasadas para otimizar as práticas de manejo da fazenda.

2. Por que as imagens de satélite são úteis para a compreensão das teias alimentares?

É útil para a compreensão das teias alimentares por diversos motivos. Primeiro, proporciona uma visão panorâmica da superfície da Terra, permitindo que pesquisadores observem e monitorem grandes áreas e ecossistemas. Essas imagens podem ajudar a identificar características-chave do habitat, como padrões de vegetação ou processos oceanográficos, que influenciam a distribuição e a abundância de organismos dentro das teias alimentares. Além disso, auxilia no rastreamento de mudanças na cobertura do solo e em variáveis climáticas, que são fatores importantes que afetam a dinâmica das teias alimentares.

Precision livestock farming allows farmers to increase their production, expand their farms, maximize productivity, and meet the growing demand for livestock products while being conscious and accountable for its environmental impacts.

The recent developments show three different problematic trends on a global scale. First of all, the demand for livestock products like meat, eggs, and dairy is rising almost exponentially with the ever-increasing global population and increasing affordability of these items.

Secondly, the number of livestock farmers and the area of farmlands are reducing constantly for several years because of limited land availability.

Finally, there is a rising concern over the harmful effects of livestock on serious global issues like global warming, deforestation, and overall environmental degradation.

To address all these problems which is still in its inception stage in the grand scale of livestock-farming history, has emerged as a viable and promising solution.

What is livestock?

Livestock refers to domesticated animals that are raised for food, fiber, labor, and other products. This includes animals such as cows, pigs, chickens, sheep, and goats, among others. Livestock are an essential part of agriculture and play a significant role in the food production industry.

Livestock can be raised in various ways, including free-range, intensive, or extensive farming methods. Free-range farming allows animals to graze and roam in open pastures, while intensive farming involves keeping animals confined in smaller spaces to maximize production.

Extensive farming is a method that falls between free-range and intensive farming, where animals are allowed to graze and move around in a designated area.

What is livestock farming?

Livestock farming is the practice of raising animals for various purposes such as food, clothing, and labor. Livestock animals include cattle, sheep, goats, pigs, chickens, and other poultry.

In many parts of the world, it is an essential part of the economy and culture. For example, in the United States, the livestock industry generates billions of dollars in revenue each year and supports millions of jobs.

There are different types of livestock farming, depending on the animals being raised and the purpose of the farming. Some farmers raise animals for meat, milk, or eggs, while others raise them for their wool or other by-products.

One of the most common types is beef cattle farming. Beef cattle are raised for their meat, and they are typically raised on large ranches or farms. The beef industry has become increasingly industrialized over the years, with many farmers using feedlots to fatten their cattle before slaughter.

Another common type is dairy farming. Dairy farmers raise cows to produce milk, which is then sold to milk processors or used to make cheese, butter, and other dairy products. Dairy farming can be a challenging and demanding business, as cows need to be milked twice a day, every day of the year.

Poultry farming is also a popular type, with chickens being the most commonly raised poultry. Chicken farmers raise their birds for their meat and eggs, and they often use large-scale production methods to maximize efficiency.

It can have both positive and negative impacts on the environment. On the one hand, raising animals for food can help feed a growing global population and provide economic benefits to farmers and communities. On the other hand, large-scale livestock operations can contribute to pollution, deforestation, and greenhouse gas emissions.

What is precision livestock farming?

Precision Livestock Farming (PLF) is an innovative approach that utilizes technology and data-driven solutions to optimize livestock production and management.

It involves the integration of sensors, automation, and monitoring systems to gather real-time information on animal health, behavior, and environmental conditions.

This data enables farmers to make informed decisions regarding feed, health interventions, reproduction, and overall animal welfare.

PLF aims to improve productivity, minimize resource waste, enhance animal welfare, and promote sustainable and efficient livestock farming practices.

Precision livestock farming technologies

Like all technologies, PLF technologies are constantly evolving with every passing day. Many are adopted and highly successful across numerous farms everywhere while some are in their early developmental stages. A few of the PLF technologies which are in application today are:

1. Automated weighing systems

Since weight is one of the most important indices of animal health and livestock productivity, an automated weighing system is a common technology that comes with every PLF application in one form or the other.

The several forms of Automated-weighing systems are ‘Step-on scales’ and cameras integrated with software that gives the weight to individuals through machine-learning analysis of images and videos with a very little margin of error.

Step-on scales are widely used in poultry to calculate accurate mean weight and walk-over sensors are used in pigs and bovines by passing them through a scale.

On the other hand, measuring weight from image and video analysis is faster, easier, and more importantly, less intrusive. The information on the weight of farm animals is vital in livestock domestication.

For instance, by obtaining information on the weight and recording feed characters, a model can be established and used to make predictions and management interventions.

2. Low-cost feed and water intake recording

Water meters and different types of feed intake sensors are used to record information on the feeding and drinking behaviors of farm animals.

This information, collected over a period of time provides a historical trend and expected levels of feed and water intake, which can then be used to trigger early warning systems in case the feeding and drinking habits of animals change, which might be due to several factors like disease or unfavorable condition.

3. Imaging solutions

As mentioned earlier, images and video analysis can provide near-accurate information on the weights of individual animals automatically. However, weight is just one of the many data we can obtain from imaging solutions.

For instance, using 3D-camera technology and thermal imaging, we can study behavioral patterns like mounting and lameness, physiological conditions like respiration and temperature, growth trends, and environmental elements like carcass quality.

Because they obtain a range of vital data and their affordability, Imaging solutions are the most common form of precision livestock farming monitoring and one of the initial steps of a step-wise PLF adoption approach on a farm.

4. Animal sensing systems

Sensors like accelerometers, pressure sensors, and temperature sensors fitted to animals or their environment and connected to a network establish an Internet of Things (IoT) which is the basic premise of integrated PLF.

These sensors, either singly or in combination can be used to detect behavior patterns, environmental conditions, and animal health. For eg, sensors placed on the ear as well as on neck collars of cattle and pigs can measure and monitor feeding behavior, rumination, calving, estrus as well as body temperature.

Sensors are also used to measure farm temperature, and aquaculture variables like pH, oxygen content, etc. One important thing to consider while using sensors in PLF is their discomfort or harm to the animals.

Overall, real-time sensors combined with previous data are instrumental in detecting doenças and health issues and warning in advance.

5. GPS-tracking for extensive systems

The use of remote sensing technology like GPS-based tracking systems is applicable in grazing systems where animals cover a large area of land.

Their movement patterns can be used to determine their grazing preferability while their real-time GPS locations can be used to track their positions. This makes cattle herding efficient and reduces cattle loss through theft or predator killings.

In fact, GPS collars fitted on predators like big cats have been used to establish an early warning system in remote areas around the world.

In conventional livestock farming, GPS-tracking systems make monitoring large herds of cattle significantly easy by establishing virtual fences and offer the farmers a great relief.

6. Proxy technologies for measuring methane emissions

Agricultural greenhouse gas emission continues to be a large contributor to the overall GHG emissions every year. Methane gas produced by bovines and pigs occupies a major chunk of the agricultural GHG emission.

Technologies to measure methane emissions in farm animals are a great way of making animal farms more climate-sensitive and environmentally responsible.

However, not many feasible technologies exist for individual farms, and some of the proxy technologies include chamber system, SF6 tracer technique, laser-methane detection, spectroscopy, etc.

7. Electronic identification (EID) solutions

Being able to measure the conditions, behaviors, and performance of each individual animal on a farm automatically is only beneficial if those individual animals can be identified easily so that their record can be kept separately and automatically.

The traditional methods of livestock identification are intrusive and injurious to the animals and are still in practice all around the world.

However, electronic alternatives like Radio Frequency Identification (RFID) and advanced ear tags are efficient and automatic, removing the need for lengthy data entry works and a smooth flow of operations. EID holds all other aspects of precision livestock farming in place. It is also made mandatory in different countries.

8. Application of advanced data analytics to big data

As more and more technology is adopted in livestock farms, more and more data and data points are generated every day and it continues to rise exponentially. To handle that amount of data, the data analytics part has to be equally capable.

Advanced data analytics for big data as well as machine learning capabilities are required to ensure that the data generated will be used to solve the pressing issues of animal health and animal farming.

Benefits of precision livestock farming

The benefits of PLF are wide and the types of benefits that can be obtained from a PLF system depend on the kinds of technologies used. However, some of the general benefits of PLF that any PLF system hopes to achieve are:

Better animal welfare and health: Animal health must be at the center, not just because animal health translates into human health, but because every animal has an intrinsic right to lead a healthy life in good living conditions.

These systems identify this idea and by using technologies for disease detection and early warning systems, work for the improvement of animal health and welfare.

1. Optimized input levels and maximized production

PLF makes farming operations precise. This means the appropriate use of limited resources in case of inputs. By reducing costs and increasing the overall yield of animal products, PLF increases the profitability of livestock farming.

The economic benefits of applying precision farming are significant and necessary to attract more farmers to it to meet the increasing needs for animal products.

2. Environmental benefits

Another major benefit of the PLF system is the reduction in the environmental impact of farming operations. It is a major cause of environmental issues like global warming and deforestation.

While technologies are in place to reduce methane emissions from farms, increasing the productivity of farms ensures that more results can be obtained in less land which contributes to reducing the massive deforestation.

3. Reduced farm labor

As the number of farmers decreases and the number of animals on a farm increases, it is not possible for a farmer to keep track of all the animals. PLF makes it possible by reducing farm labor and giving access to critical and reliable information conveniently to the farmers.

Moreover, automatic feeders, GPS-tracking, etc eliminate the need for many farm laborers. The reduction in farm labor means that the farm is more scalable and thus more productive and profitable.

4. Risks of precision livestock farming

Some of the challenges and risks associated with PLF are listed below:

• Affordability is still a major challenge associated with the integration of expensive technologies on farms. Although studies show that PLF technologies make a farm more profitable, the diverse nature of each farm makes it a concern worth considering thoroughly before deciding to adopt PLF.
• The major risk of PLF is that since it is often integrated and automatic, a system failure can cause devastating impacts, especially if the system is fully automatic.
• Another associated risk is when the unit of animals is not individuals but a group of individuals like poultry where flocks are measured. In such cases, special individual needs can be overlooked.
• The use of intrusive tags is a risk to animal welfare which is still used in many PLF practices and technologies.

PLF carries huge potential in solving the present-day pressing issues of livestock farming like the increasing demand for livestock products, decreasing farmer count, limited land availability, and environmental concerns.

On an individual farmer’s level, the two most important things it does are that it increases his/her production and profitability and allows him/her to allocate the limited time in hand to only the important items.

PLF has technologies that are tried and tested and are commercially available for adoption by individual farmers according to their needs.

Moreover, with rapid advancement in technology and big data analytics, precision livestock farming promises a future where food security is ensured along with animal welfare.

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Perguntas frequentes

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1. How does livestock farming affect climate change?

It significantly affects climate change through various mechanisms. Firstly, it contributes to greenhouse gas emissions, primarily methane and nitrous oxide, produced from enteric fermentation, manure management, and synthetic fertilizer use.

It also drives deforestation, as land is cleared for pasture and feed crops, reducing the carbon sequestration capacity of forests. Additionally, the intensive use of water, energy, and other resources in livestock production further exacerbates climate change.

2. How did the farmer count his livestock?

The farmer counted his livestock using various methods, depending on the circumstances and the size of the herd or flock. One common approach is visually counting the animals by walking or driving through the pasture or barn.

In larger operations, farmers may use specialized tools like electronic ear tags or RFID technology that can track and count the animals automatically. Additionally, some farmers may rely on manual record-keeping systems to keep track of births, deaths, and movements to maintain an accurate count of their livestock.

Due to population growth, climate change, reduced rainfall, and increasing demand for food, farming is being negatively impacted, leading to changes in cultivation methods. Therefore, to improve yields and collect accurate data, it is crucial to adopt modern and precision agricultural practices and install various types of sensors.

Given the latest situation and the negative impact on normal farming practices, agriculture needs to be carried out more intelligently, using new and state-of-the-art technology. It is the only way to provide a solution and meet the endless and growing needs of the world’s population.

Precision agriculture sensors are very efficient in agriculture because they transmit data that helps farmers not only to monitor but also to improve their products and keep abreast of changes in the field and ecosystem.

Intelligent agricultural sensors help to easily identify animals, detect heat and monitor their health, thus facilitating the isolation and healing of sick cows by identifying, detecting, and following herds.

Using smart sensors in agriculture, farmers can now record their crops and keep an eye on their effectiveness remotely, address crop pests and take swift action to protect their crops from any risk to the environment.

What are sensors?

A sensor is a gadget that perceives and responds to certain inputs which could be illumination, locomotion, pressure, heat, or moisture, and transforms it into a representation or signals that can be read by humans for further reading and processing.

They are commonly used in various applications, from detecting motion in security systems to measuring temperature in HVAC systems. They are also used in everyday objects like smartphones, cars, and appliances.

Sensors work by detecting physical or chemical changes in the environment and converting them into electrical signals. The type of sensor used depends on the type of change being detected.

For example, a temperature sensor detects changes in temperature and converts them into electrical signals that can be interpreted by the device it is connected to.

What are the types of sensors used in agriculture?

There are various types of sensors used in agriculture that enable the need for smart agriculture incorporation.

1. Optical Sensors In Agriculture

This is the use of light to evaluate soil materials and track countless light prevalence. These sensors can be positioned on automobiles, satellites, drones, or robots thereby enabling the soil to reflect and the gathering and processing of plant color data.

Optical sensors also have the ability and capacity to condition the clay, natural matter, and humidity properties of the soil.

2. Electrochemical Sensors For Soil Nutrient Detection

The electrochemical sensors aid in the collection, processing, and mapping of the chemical data of the soil. They are usually mounted on specially designed sleds.

They supply accurate details required for agriculture. This includes the nutrient of the soil levels and pH. The soil samples are then sent out to a soil testing lab and standard procedures are carried out.

Error-free measurements especially in the area of determining pH are carried out with the use of an ion-selective electrode. These electrodes notice the pursuit of specified ions, such as hydrogen, nitrate, and potassium.

3. Mechanical Soil Sensors For Agriculture

These types of sensors are used to measure soil compression or mechanical opposition. This sensor uses an application that passes through the soil. This sensor then records the force calculated by pressure scales or load cells.

When a sensor passes through the soil, it documents the holding forces that result from the cutting, smashing, and displacing of soil. Soil mechanical resistance is recorded in a unit of pressure and points out the ratio of the force necessary to go into the soil channel to the frontal area of the tool engaged with the soil.

4. Dielectric Soil Moisture Sensors

This sensor calculates the moisture levels in the soil with the assistance of a dielectric constant. This is an electrical property that substitutes depending on the moisture content in the soil.

The moisture sensors are used in association with precipitation check locations all around the farm. This allows for the scrutiny of soil moisture positioning when vegetation level is low.

5. Location Sensors In Agriculture

They are also known as agricultural weather stations. They are positioned at different places throughout the fields. These precision agriculture sensors are used to determine the variety, distance, and height of any position within the required area. They take the help of GPS satellites for this purpose.

6. Electronic Sensors

They are installed on tractors and other field equipment to check equipment operations. Data are transmitted via cellular and satellite communication systems to computers or mailed to individuals directly. The supervisor in charge can now have access to the information either on their office computer or their personal cell phones.

7. Airflow Sensors

Its measurements can be made at particular locations while on the move. These types of sensors measure soil air penetration. The expected result is the pressure needed to push a decided amount of air into the ground at a prescribed depth. There are various soil properties, including moisture levels, soil type compaction, and structure, which produce a different identifying signature.

8. Agriculture Sensors IoT

With the increase in adoption of the Internet of Things (IoT) the ability to connect various devices have being implemented in virtually every aspect of our life. It only makes great sense that automation also finds its own application in agriculture as it will have a great impact on it.

This sensor provides real-time information on what is happening on the field such information including air temperature, soil temperature at various depths, rainfall, leaf wetness, chlorophyll, wind speed, dew point temperature, wind direction, relative humidity, solar radiation, and atmospheric pressure.

This indicates that farmers are in the know-how of when their crops are due for harvest, the quantity of water being used, the soil health, and if there’s a need for any additional input. This is measured and recorded at scheduled intervals.

There is a big list of sensors used in agriculture IOT sensors which means (Solutions for Smart Farming). Making use of precision agriculture sensors will definitely transform the agricultural industry by increasing crop production, adopting a pest-free high yield variety in crops, and keeping up with the increasing demand for food.

The most popular types of precision agriculture sensors

As a result of the fast-paced rise in the world’s population, farming activities have become increasingly complex, competitive, vast, and optimized.

The use of technology has led farming operations to be more productive than before thereby increasing what farmers harvest and the quality of products.

Sensors have played critical roles in this technological advancement. Below we explore key sensors in smart agriculture technology.

1. GPS Sensors

This sensor is generally associated with the automotive and cellular communication industries. They are highly advantageous to smart agriculture. One major challenge ancient settlers have had to experience is in sheep herding, having to use wooden staffs to drive their cattle.

This is because keeping track of their flocks is of ultimate importance to farmers. With the use of modern GPS, tracking livestock is no longer a challenge as this GPS is heightened with the ability to monitor the animals with a simple push of a button.

With regards to the mechanical side of agriculture, which involves plant harvesting and related farming techniques, the use of GPS sensors have being adopted with us of highly precise vehicle guidance systems.

In many farming applications, such as tilling a field, making use of auto-guided systems can enhance field routing, reduce overlapping processes and eventually reduce the quantity of time required to complete a task.

2. Agricultural Temperature Sensors

Regarding smart agriculture, temperature sensors are crucial in two key categories. These categories are ambient condition monitoring and mechanical asset monitoring.

For instance, ice wine harvesting usually occurs within a narrow temperature window when temperatures first reach between -10°C and -12°C during a harvesting season. The ice wine industry requires a highly accurate temperature and humidity sensor to give a precise prediction of the temperature forecast.

These types of sensors do not only play an important role in monitoring the ambient conditions of physical space, but they play a crucial role in virtually all smart agriculture asset monitoring applications.

3. Asset Monitoring

This is one more application in smart agriculture that makes use of temperature sensing as an evaluative role. As well as observing the plants that are being harvested, temperature sensors take note of the equipment that gathers these plants.

Whenever an equipment system is in need of minor maintenance, is underperforming, or is critically failing, the temperature sensor dishes out an alert. They are highly effective in virtually every that relates to the predictive and reactive maintenance system. This in turn protects against overheating and detrimental failure of equipment.

4. Accelerometer Sensor

This is quite similar to the use of temperature sensors in maintenance prediction. Accelerometers are vastly made use of across the smart agriculture industry to predict and assist with required maintenance. They are mostly used on moving components and motors.

Their major aim is to detect slight variations in movement and vibration inconsistencies and foretell when standard maintenance is required or a compromised component needs to be replaced.

However, this sensor is usually associated with farming and other agriculture, accelerometers play an indispensable role in the maintenance of vital smart agriculture equipment. Accelerometers can also be used in various automated systems and tracking methods.

For instance, a low-power accelerometer makes it easier and faster to monitor the status of an adjustable spray nozzle on the end of a fertilization beam. With adverse technology, the use of autonomous drones in smart agriculture depends critically on accelerometers and IMU (inertial measurement units) to track motion, speed, crash events, and even position in space.

Smart Cameras use in Agriculture

When it comes to smart camera technology, it is far from the old analog sensor. Smart cameras have been increasingly adopted for a variety of smart agriculture applications.

Various companies such as Blue River Technology, a division of John Deere, have adopted the use of smart camera technology to detect weeds and other plant locations.

As a result of this, an automatic and accurate dispensation of herbicides and fertilizer is carried out. This makes use of chemical utilization and increases overall productivity while decreasing chemical usage.

One of the most significant challenges in agriculture is the issue of pest control. With the use of smart cameras, farmers can now detect pests in real-time and effectively monitor actions against pests without necessarily harming helpful agricultural insects.

Smart cameras can also take the place of semi-legacy sensing devices such as ambient light monitoring, thereby enabling a simplified system and a reduction in the component count.

Precision farming is the application of specific inputs at various rates to optimize economic efficiency and reduce wastage. The use of precision agriculture sensors aids farmers makes a smooth move from the old ways of carrying out farming activities.

GeoPard Agricultura is a cloud-based powerhouse for precision data analysis, creation, and smart scouting. They are a dependable tool for agriculture operations, from the planning to execution and adjustment of practices based on the data provided.

GeoPard has facilitated the launch of various precision agriculture software companies and can offer you a superior solution. In conclusion, the smart agriculture industry is ever-increasing, especially with new solutions that come to the market on a daily bases.

Equipment and devices that aggregate sensor data, communicate important information to farmers, and optimize the numerous agricultural processes are critically important.

The importance of different types of sensors can not be over-emphasized as they help meet the demand for food, magnify yields and minimize resources.

These different types of precision agriculture sensors are easy to operate and cheaper in the long run. They make life easier for farmers and increase the overall quantity and quality of products delivered. It is advisable that every farm owner should consider smart farming.

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Perguntas frequentes

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1. Why do we need smart agriculture?

Smart agriculture is crucial for several reasons. It enhances productivity and efficiency by leveraging technology and data-driven solutions to optimize resource use, such as water and fertilizers, leading to improved crop yields and reduced waste. It enables precise monitoring of crops, soil conditions, and weather patterns, allowing farmers to make informed decisions in real-time and mitigate risks. 

2. What sensors do agricultural robots have?

Agricultural robots are equipped with a range of sensors to perform their tasks efficiently. These sensors include vision sensors for crop and object detection, GPS and navigation sensors for precise positioning, environmental sensors to measure temperature, humidity, and soil conditions, and proximity sensors for obstacle detection.

By utilizing these sensors, agricultural robots can autonomously navigate fields, monitor crops, and perform tasks such as planting, spraying, and harvesting with precision and accuracy. 

3. What are the limitations of agriculture sensors?

Agriculture sensors have certain limitations that should be considered. Firstly, sensor accuracy and reliability can vary, leading to potential measurement errors or inconsistencies. Secondly, some sensors may require frequent calibration or maintenance to ensure optimal performance.

Thirdly, sensors might not capture certain environmental factors or variations accurately, limiting their ability to provide comprehensive insights. 

Topography is an important data layer of precision farming that affects crop development conditions.

GeoPard automatically collects the topography profile from machinery and remote sensing (like LiDAR) datasets. That enables crop growers to follow governmental environmental regulations and precisely apply fertilizers and crop protection products. Thanks to complete topography profile crop growers can:

• Learn in-field microtopography conditions (like Relief Position, Slopes) for better crop rotation and accurate agricultural inputs’ distribution.
• Create Variable Rate Application maps with incorporated topography profiles and collect the execution reports.
• Create VRA maps that follow governmental environmental regulations for applying fertilizers and crop protection chemicals.

Saiba mais

The role that small farms play in securing the food security of the globe today is immense and it is only obvious that with the rapidly increasing population as well as the exhaustion of farmland productivity, this role is expected to rise exponentially in the near future. A 2021 report by UNDP estimates that small precision farmers account for around 90% of all the farmers in the world.

It also mentions that in areas with alarming food-security concerns like Sub-Saharan Africa and Asia, a massive 80% of all the food grown comes from small farms. So, there is no denying that small farms are very important for global food security.

However, large farms are way more efficient and productive than small farms because they are based on precision-farming techniques.

Precision agriculture is the utilization of information and technological tools to take wise farming decisions that are backed by accurate data and equipment. Precision farming has the main goal of identifying the optimum type and level of farm inputs.

It also suggests the location and time for administering those inputs so as to increase the profitability as well as the environmental sustainability of the farms. The data mostly used in precision farming is the variety of factors within a field that influences farm yield within the farm like soil, topografia, water content, weather, etc.

Whenever we read or hear about precision-farming, we’ll most likely see it being used in the case of large farms and the images will contain massive tractors fitted with GPS in large fields, big analytics screens, drones surveying the area, or even applying fertilizantes.

On the other hand, small farms aren’t often associated with those tools. However, technological progress in the field of precision farming has blurred that boundary and made precision farming affordable and applicable for small farms as well.

Uses of Precision Agriculture Technologies in Small Farms

Small farms are characterized by their low productivity and high labor inputs. They are also non-resilient against the changing patterns of the market and the climate.

The adoption of precision-farming techniques attempts to solve all these problems for small farmers. Common technologies that are used by small precision farmers are:

Smartphones: The importance of smartphones in making precision farming accessible to small farmers cannot be stressed enough.

Smartphones have become one of the most ubiquitous pieces of technology today and this fact has been used to penetrate the foundations of precision-farming in small farmers by making access to data and experts accessible to them.

Cloud-based data analytics tools like GeoPard makes precise agronomic decisions accessible to farmers at the tip of their finger.

Satellites: A vital component of precision agriculture is the identification of factors affecting the production of farms along with their variability and we know that satellite imageries provide just that.

Small farmers can largely benefit from accessible and reliable agri-solutions like VRA Mapping, Análise de topografia, e Monitoramento de Culturas to understand their farms better and make better decisions backed by accurate data.

UAVs: UAVs stand for Unmanned-Aerial-Vehicles and offer one of the most precise data as well as application methods of inputs in precision agriculture.

Sensors fitted into the drones obtain real-time imaging of the farm while pay-loads fitted in drones can administer fertilizers precisely across the farm and reduces labor.

However, their affordability for small farms is questionable but different incentives and innovative measures are emerging to make their application in small farms economic and viable.

Internet of Things: The Internet of Things (IoT) is the network of sensors, data, and objects that are connected and allow for the sharing of information to make informed decisions everywhere.

In precision farming for small farmers, the IoT has advanced with the advancement of sensors and their affordability.

For example, sensors used to study the soil properties, plant health, weather conditions, and water status all are vital for making small farms productive and sustainable.

How precision farming can help small farms

Precision farming for small farms needs a proper planning before its implementation. A complicated system of precision agriculture can be overwhelming and expensive for small farmers.

So application of precision agriculture in small farms should follow an approach that starts with the accumulation and analysis of data to create a site-specific model of precision agriculture. The several steps to an ideal precision-farming approach in small farms are as follows:

1. Understand your soil first

Soil is considered the most important factor influencing crop production. So it is only fitting that applying precision farming on small farms should first include understanding the soil of your farm better.

Generally, the physical and chemical properties of the soil are analyzed by sampling and most small farmers take only one sample of their soil by treating their farmland as homogenous. This is one of the key problems that precision farming addresses which is the intra-farm variability of soil.

By using precision-agriculture solutions like Soil data Analytics, even small farmers can conduct grid or systematic sampling by easily obtaining precise sample points. The grids themselves can be layered according to the information obtained from the site.

For instance, the size of the grids can be varied according to the value of the crop. Finally, based on the information obtained from the chemical analysis of the soil, small precision farmers can obtain easily readable visualizations of the soil attributes, and to make it even easier, they can apply different rates of fertilizers on different patches of their land.

Choosing soil sampling and analysis in the initial stages of precision-agriculture adoption by small farmers is important because it is relatively easy and affordable and doesn’t require much knowledge and experience, which is clearly a problem in small farmers of developing countries.

Moreover, the results from soil analytics are always promising and make small farmers more welcoming of more precision-agriculture interventions.

2. Choosing Small machines for small farm

As the demand for precision-farming tools and equipment is rising, manufacturers are making machines and tools that are designed for small farmers.

Small precision farmers can now find highly specialized tractors, seeders, and weeding machines that are scaled-down, both in size and in cost, to fit the needs of small farmers.

3. Rely on expert Agri-solution providers

One of the major barriers of precision farming to small farmers is that its cost may not justify its benefits. Large farms, on the other hand, have their own team of experts, tools, machines, and systems to properly implement precision agriculture.

To solve this problem, small farmers can get affordable integrated packages of precision ag solutions tailored for small farmers. Hiring or renting machines and technologies is also a great way to make precision farming more affordable and profitable for small farmers.

4. Prioritize Sustainability and Environmental-friendliness

Environmental friendliness and sustainability are major goals of using precision agriculture. It is even more so in the case of small farms since most small farms since can increase the market value of the crops, help reach a wider market and increase profitability.

The amount of harmful chemical inputs in the form of fertilizers, herbicides, and pesticides is drastically reduced by applying VRA technologies. For small farms, organic manures can be an excellent option to further amplify the effects.

5. Consider crop-value and Input-value

The value of your crop as well the value of your input should drive the type and intensity of precision-agriculture application on your farm.

Oftentimes, even if the size of your farm is small, the crop that you are producing can be of very high value or the cost of your farm inputs can be very high.

In these cases, the size of the farm should not be a barrier to applying precision agriculture since it can make your agribusiness profitable and efficient by either increasing yield or reducing costs.

For example, if you have a small farm that has a high input value in the form of irrigation, applying soil-moisture sensors on your farm or analyzing your soil through soil analytics can translate into a considerable saving in irrigation costs for your farm. This benefit, compounded over time can yield greater profitability.

High crop value in the form of specialty crops like orchard crops or vegetables will have a high-crop value and even if your orchard or your garden is small in size, the cost of precision agriculture can be easily justifiable with the increased yield in those crops.

Small farms around the world are facing the consequences of the changing economy, changing climate, and unsustainable patterns of farming over the years. The application of precision farming in small farms can be a viable solution to these problems.

The barriers to precision agriculture for small precision farmers include affordability, data availability, technological complexity, and lack of inputs.

These barriers are being torn down by the rapid technological advancements in the field of precision agriculture and also by the accessibility to integrated, holistic, and easy-to-use agri-tech solutions like GeoPard.

To conclude, the implementation of precision agriculture in small farms should follow a designated and site-specific approach like the one mentioned above and should be targeted towards small farms’ profitability as well as environmental friendliness and sustainability.

The resources of small farms are limited and precision farming ensures that their use is optimized to obtain the maximum yield.

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Perguntas frequentes

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1. Does precision agriculture benefit large or small scale farms?

It offers benefits to both large and small-scale farms. For large-scale farms, it helps optimize resource allocation, reduce input costs, and increase productivity by enabling targeted management practices. It allows for efficient monitoring of vast fields and facilitates data-driven decision-making.

On the other hand, it benefits small-scale farms by improving yield potential, minimizing resource waste, and enhancing sustainability. It enables small-scale farmers to make informed decisions based on specific field conditions, leading to improved profitability and environmental stewardship.

2. How does precision agriculture affect agriculture?

It has a significant impact on the agricultural sector. Firstly, it enhances productivity and efficiency by optimizing resource use, such as water, fertilizers, and pesticides, leading to improved crop yields. Secondly, it enables targeted and precise application of inputs, reducing waste and environmental impact.

Thirdly, it facilitates data-driven decision-making by providing real-time information on crop health, soil conditions, and weather patterns. Lastly, it promotes sustainability by promoting sustainable farming practices, minimizing chemical use, and preserving natural resources.

3. What was a common problem for small farmers?

A common problem faced by small farmers is limited access to resources and technology. Small farmers often struggle with inadequate access to capital, land, equipment, and modern farming techniques.

They may face challenges in acquiring high-quality seeds, fertilizers, and pesticides, as well as limited access to markets for their produce. Additionally, small farmers often lack the necessary knowledge and training to implement advanced farming practices.

4. How to make a small farm profitable?

To make a small farm profitable, several strategies can be employed. Firstly, diversify the farm’s products by growing a variety of crops or raising multiple livestock species to cater to different markets and demand.

Secondly, implement efficient farming practices such as precision agriculture, proper crop rotation, and integrated pest management to optimize resource use and minimize costs.

Thirdly, explore direct marketing opportunities by selling products locally through farmers’ markets, community-supported agriculture (CSA), or establishing a farm stand. Lastly, consider value-added activities such as processing farm products into value-added goods like jams, pickles, or cheese to increase profit margins.

In the world of farming today, the use of the term ‘precision agriculture’ is increasing at an exponential rate and given its power to completely transform the productivity of a farm, the increase is justified and even extremely important.

In simple terms, precision farming can be defined as the use of technology and data to determine the type of farm inputs, the level of those inputs, and also the precise location of those inputs within the land.

In traditional farming, the entire plot of land is treated as one whole entity and the inputs are thus applied uniformly over the entire field. This doesn’t align with the actual input requirements for optimal production by the different parts of the land.

On the other hand, it recognizes the input requirements of each part of the land by identifying the different intra-field variabilities like the difference in soil properties, slopes, nutrient content, production levels, sunlight reception, and so on.

Precision farming is better than other conventional or traditional farming techniques because it relies on data generated by the use of technology, which is then analyzed by reliable computer programs as well as expert agronomists to make accurate predictions and recommend precision farming solutions in a timely manner to the farmers.

In fact, it can go as far as to actually make those interventions or administer the different inputs in the farm with the help of technology-driven machinery and equipment.

Some of these methods used for data collection are field-based sensors, drones, satellite imageries, etc while an example of direct input through precision-agriculture includes the use of robotic devices fitted to GPS-guided autonomous tractors.

Overall, it not only makes the farmlands and agribusinesses more profitable but also very sustainable in the long run.

How the Internet of Things (IoT) is used in agriculture today?

Internet of things is considered as the backbone of modern agriculture which is basically the act of connecting objects and devices with sensors to measure the required data and transmit the data via a network.

In case, the various things and objects that are included in the IoT include the farmland itself, the crops, weather, machinery, etc. So the use of IoT to achieve increased yield, alleviate operational expenses, and also achieve environmental sustainability is called agricultura de precisão.

The utilization of IoT in agriculture today for precision practices is mostly done through AgTech solution providers like GeoPard Agricultura because of the complexity of the processes involved in a holistic precision agriculture practice.

For instance, given the developmental stage of a plant, its level of greenness may reveal its nutritional needs.

The data on the level of the greenness of the plants are gathered and analyzed using the Crop-Monitoring solution which uses images obtained from satellites like the Landsat and sentinel multispectral images and then creates detailed maps of your land revealing its specific input needs.

Similarly, we all know that topography has a large influence on farming decisions like species selection, irrigation needs and determines the final production by controlling aspects like light reception and water retention.

So, precision farming solutions like Análise de topografia lets you create very accurate topographical models of your farm using elevation, slope, and aspect data obtained from field-based GPS attached to machinery as well as LIDAR and satellite data.

Soil is the most important part of agriculture and the type and quality of soil determine the type, quality, and quantity of farm yields.

Hence, understanding your farm’s soil precisely translates to a precise understanding of your input needs for optimum production and environmental protection.

Tools like Análise de dados do solo do just that by providing you with precise locations for soil data sampling and using those sampling data combined with other data layers to create a high-resolution visualization of all the necessary soil attributes.

Based on the variability of those attributes across the land, you can obtain and plan the different types and intensities of inputs like fertilizers and cropping patterns.

The IoT tools mentioned above are only a few of the many tools you use in an integrated model of precision farming.

All these tools and the data obtained from them work seamlessly in a network that provides you with much-needed timely information to optimize your production and alleviate operational costs.

Why should you turn to precision agriculture?

Considering the global problem of food shortage and the limited availability of arable farmland, it is highly recommended to adopt it as it allows for maximum yield while minimizing overall costs.

The only obstacles to implementing precision agriculture are limited access to technology and a lack of knowledge and skills, both of which can be overcome with precision farming solutions readily available.

So let’s look at some of the reasons why precision farming is the way towards a sustainable and profitable agribusiness.

1. Precision farming reduces the costs associated with farming

This might sound counterintuitive at first since the use of technology in your farmlands obviously sounds like an expensive venture.

However, precision-farming tools like GeoPard have become extremely accessible and affordable to farmers and these costs are nothing in comparison to the numerous long-term costs you will save by optimizing the actual level of inputs like fertilizers and herbicides you need to use in precise locations of your farms.

It also dramatically reduces the ever-increasing human labor cost from the agriculture economics equation thus reducing your costs marginally.

2. Precision farming increases the yield and thus the overall profitability

As mentioned earlier, precision-agriculture increases profit by cutting costs.

But even more than that, the major goal of precision farming is to maximize the crop yields from your farmland by accurately measuring the farmland attributes, analyzing those data, and suggesting or implementing solutions that will yield the most productive in the long run.

Long-term productivity is key here because it combines spatial data with temporal data to give you precision farming solutions that are suited for your long-term production goals.

3. Precision farming ensures environmental sustainability

In contrast to conventional farming methods that often neglect environmental concerns such as pollution, nutrient leaching, and waterbody contamination, it prioritizes environmental sustainability.

This approach considers the necessary environmental standards that must be met to enhance the environmental value of products and tap into new markets, leading to potential economic benefits.

4. Precision agriculture combines technical expertise with farmers’ experience

It is an often overlooked benefit of turning into precision agriculture but adopting any level of precision farming technology in your farm means that your agribusiness will be driven by better agronomical expertise while you will retain the ability to use your experience in light of the better understanding of your own field at a higher resolution.

Especially in the case of small farms, it only provides you with accurate and detailed information and suggestions, but it is up to you, the farmer to use that information and manage your agricultural farm according to your needs which brings us to the next and final point.

5. Precision farming is suitable for all farm sizes

Large farms and farming organizations use advanced and sophisticated machines and networks as large-scale precision farming. However, the majority of the food we eat in today’s world still comes from small farms. Although the type of precision agriculture tools varies according to farm size, they are applicable in all sizes of farms.

For small farms, tools like handheld GPS, small drones, and services like mobile apps with offline capabilities, cloud-based analytics, etc. can make a huge impact on the overall operation and productivity of the farm. With increased spatial resolution and low prices offered, the small size of the farm should not be a reason to not turn into precision farm today.

How to get started with precision agriculture?

Precision agriculture, Internet of Things (IoT), advanced machinery, data analytics, and other associated terminologies might be distressing at first glance if you are not quite familiar with these terms and this is the main reason why many farmers tend to stay away from precision-farming.

However, it is simply the act of obtaining more detailed and precise information about your own farm so that you can make the best decisions. While getting started with it, you need to understand the following things for the best results.

Precision agriculture must always start with a clear understanding of your specific needs since it serves more than one purpose increasing yields, reducing costs, improving operational efficiency, and enhancing sustainability.

So first, a specific set of needs and expectations derived from a proper evaluation of your farm is the perfect way to start your precision journey.

Now you need to choose the tools that will best fit your needs. For this, you need to consult with experts, go to conferences, or simply contact the solution providers to gain information on specific tools and technologies.

While starting out on precision practices, it is always best to choose user-friendly tools that you or your staff can properly navigate and operate if needed. Also, even though you need not go on the details of the tools, it is always a good idea to have a basic understanding of how the tools and overall network works.

Finally, the actual implementation of the tools and the proper utilization of technology as well as the information obtained is the key to a successful precision farming operation.

It is also critical to understand that precision farming is a long terms approach that works best when multiple data layers are combined and tools are integrated into a common network rather than working independently.

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Perguntas frequentes

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1. How can GPS be used in precision farming?

GPS (Global Positioning System) plays a vital role in precision farming. Firstly, GPS technology enables accurate and precise mapping of fields, allowing farmers to create digital boundaries and track field boundaries, aiding in precise farm management.

Secondly, GPS enables guidance systems for automated machinery, ensuring precise and consistent operations such as seeding, spraying, and harvesting.

Thirdly, GPS data can be integrated with other data sources like soil sampling and yield maps, providing valuable insights for site-specific management decisions. Lastly, GPS helps in creating accurate records and documenting activities for compliance and traceability purposes.

2. How much does precision agriculture cost?

The cost of precision agriculture can vary depending on several factors. It involves investments in technology, equipment, software, and data management systems. The specific needs of the farm, the scale of operations, and the level of precision desired all impact the overall cost. Additionally, ongoing expenses may include maintenance, upgrades, and training.

3. Why is precision agriculture also called site-specific agriculture?

It is also referred to as site-specific agriculture due to its focus on tailoring farming practices to specific locations within a field or farm. By utilizing technologies such as GPS, remote sensing, and data analytics, it enables farmers to identify and manage variations in soil composition, moisture levels, nutrient requirements, and crop health across their fields.

4. What is the difference between power farming and traditional farming?

The key difference between power farming and traditional farming lies in the level of mechanization and technology used. Power farming, also known as mechanized or modern farming, heavily relies on advanced machinery and technology to carry out farming operations. It involves the use of tractors, harvesters, irrigation systems, and other mechanized tools.

Traditional farming, on the other hand, often involves manual labor, basic tools, and traditional farming practices passed down through generations. Power farming enables increased efficiency, larger-scale production, and higher productivity compared to the labor-intensive and smaller-scale methods of traditional farming.

A aplicação em taxa variável (VRA, na sigla em inglês) na agricultura é uma área da tecnologia que se concentra no uso automatizado de produtos em uma determinada paisagem. A forma como os produtos são utilizados depende dos dados coletados por meio de sensores, GPS e mapas. Os produtos não se limitam a produtos químicos, sementes ou... fertilizantes, E todas elas têm como objetivo simplesmente ajudar a aumentar a produtividade das colheitas.

O que é uma aplicação de taxa variável?

A aplicação em taxa variável (VRA, na sigla em inglês) é uma técnica de agricultura de precisão que envolve o ajuste da taxa de aplicação de insumos como fertilizantes, pesticidas e sementes em diferentes áreas de um campo, com base em suas necessidades específicas.

A VRA utiliza dados de diversas fontes, incluindo imagens de satélite, mapas de solo e dados de produtividade, para criar um mapa de prescrição personalizado que orienta a aplicação de insumos em diferentes seções da lavoura.

Ao adaptar a aplicação de insumos às necessidades específicas de cada área, a VRA (Análise de Recursos Vegetais) pode otimizar a produtividade das culturas, reduzir o desperdício de insumos e diminuir os custos, tornando-se uma ferramenta eficaz e eficiente para a agricultura de precisão.

Existem diversos tipos de tecnologia aplicados nessa área da agricultura. Elas abrangem praticamente tudo, como:

• Imagens hiperespectrais
• Drones
• Inteligência artificial
• Satélites

Independentemente do tipo de VRT aplicado, é crucial conhecer o método geral e como ele é utilizado.

Tecnologia de aplicação de taxa variável na Agricultura de Precisão

A aplicação de fertilizantes é uma prática agrícola comum que pode ser automatizada com o uso de sistemas de rastreamento vertical (VRT). Abaixo, você encontrará instruções detalhadas, passo a passo, sobre como usar o VRT para pulverizar fertilizantes:

Zoneamento/Áreas de Gestão – As áreas de gestão são divididas em seções de um campo onde é necessário aplicar produtos conflitantes.

Ao optar por utilizar a VRT (Radioterapia Virtual), é crucial marcar em quais seções as máquinas devem aplicar determinados produtos, pois, caso contrário, é muito provável que você enfrente resultados negativos.

Devido ao seu valor, o primeiro passo ao usar um fertilizante com tecnologia VRT é simples: definir as zonas de manejo adequadas. Também é necessário verificar se essas informações estão sendo inseridas corretamente no sistema VRA.

VRA orientada por mapas versus VRA orientada por sensores – O VRT na agricultura pode ser baseado em sensores ou em mapas. O próximo passo é simplesmente descobrir qual forma melhor resolve o desafio atual que você está enfrentando.

Além disso, também pode depender das desvantagens da tecnologia VRT já aplicada. O VRT baseado em mapas consiste simplesmente na criação de um mapa da paisagem, que é inserido no sistema antes do início das atividades.

Por outro lado, a tecnologia VRT (Vertical Robotics Tracking) é simplesmente aquela em que sensores são integrados para detectar automaticamente informações que, posteriormente, auxiliam na tomada de decisões sobre o fertilizante ideal a ser aplicado. Por exemplo, ela pode perceber o estado de saúde da plantação e, com base nisso, tomar a decisão correta.

Que dados/imagens precisam ser usados? – Imediatamente após escolher entre um sistema baseado em sensores ou em mapas, o próximo passo é descobrir que tipo de dados os sensores precisam coletar ou que tipo de imagens precisam ser usadas na localização.

Diversas tecnologias de VRA utilizam drones ou outros tipos de sistemas de imagem para obter dados sobre a paisagem.

Os dados e informações precisos e ideais para a aplicação de fertilizantes não se limitam a fatores como a qualidade e os produtos do solo, o tipo de cultura, a velocidade de deslocamento da máquina durante a aplicação e, por fim, os dados climáticos.

Outras aplicações e benefícios

A tecnologia de aplicação em taxa variável (VRA, na sigla em inglês) na agricultura abrange diversas outras áreas, não se limitando apenas à distribuição de fertilizantes. Algumas outras aplicações comuns da tecnologia VRA incluem:

• Uso de herbicidas e até mesmo outros tipos de produtos químicos
• Semeadura
• Detecção de pragas e doenças
• Detecção de ervas daninhas

De modo geral, a tecnologia VRA é usada principalmente para obter informações sobre uma determinada paisagem e também para que um sistema tome decisões com base nas informações fornecidas. Essas decisões determinam o tipo de produto a ser usado em campo.

Além disso, a vantagem de usar um sistema VRA é que ele pode ajudar a automatizar toda essa etapa do processo agrícola.

Quanto mais automatizada e precisa for a especialização de uma empresa em suas operações, mais dinheiro ela poderá economizar com o aumento da produção e da eficiência. Diversas fontes demonstram os inúmeros benefícios econômicos da utilização da Automação de Rotação (VRA), conforme ilustrado abaixo:

Maior probabilidade de aumento da produtividade, visto que o plantio e a fertilização são mais eficientes, de acordo com as necessidades reais da cultura e a variabilidade do solo. Proteção ambiental contra a pulverização excessiva de defensivos agrícolas. pragas e também a fertilização.

O Geopard é uma das melhores maneiras de experimentar o serviço de aplicação de taxa variável, pois oferece diversos serviços, como:

• Criador de zonas e automação gerenciada
• Tarifas fixas
• Personalizar
• Compatibilidade e Exportação
• Análise de camada única
• Análise multicamadas
• Mapas plurianuais de potencial de campo
• Mapas de estabilidade de campo
• mapas de camadas cruzadas
• Estatísticas por zona
• Compatibilidade de dados
• Desenhe as zonas manualmente
• E muitos outros