{"id":322,"date":"2021-02-04T18:39:00","date_gmt":"2021-02-04T17:39:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=322"},"modified":"2026-09-13T10:54:19","modified_gmt":"2026-09-13T08:54:19","slug":"dados-e-analises-de-rendimento-de-7b27v4yf41-no-geopard","status":"publish","type":"post","link":"https:\/\/geopard.tech\/pt-br\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/","title":{"rendered":"Dados e an\u00e1lise de produtividade no GeoPard"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Neste artigo:<\/p>\r\n\r\n\r\n\r\n<ul class=\"wp-block-list\">\r\n<li>Utilizando an\u00e1lises de rendimento na agricultura de precis\u00e3o<\/li>\r\n<li>An\u00e1lise detalhada de dados de produtividade no GeoPard Agriculture.\u00a0<\/li>\r\n<li>Visualiza\u00e7\u00e3o de cada atributo nos arquivos Yield.<\/li>\r\n<li>Corre\u00e7\u00e3o dos dados brutos de rendimento\u00a0<\/li>\r\n<li>5 exemplos pr\u00e1ticos de utiliza\u00e7\u00e3o de mapas de produtividade<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-large is-resized\"><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"324\" data-permalink=\"https:\/\/geopard.tech\/pt-br\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/2021-02-03__181226\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?fit=1680%2C964&amp;ssl=1\" data-orig-size=\"1680,964\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Raw and cleaned yield data in GeoPard\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?fit=1024%2C588&amp;ssl=1\" class=\"alignnone wp-image-324\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=810%2C465&#038;ssl=1\" alt=\"Dados de rendimento brutos e limpos no GeoPard\" width=\"810\" height=\"465\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=1024%2C588&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=300%2C172&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=768%2C441&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=1536%2C881&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?resize=1200%2C689&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?w=1680&amp;ssl=1 1680w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-03__181226.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>\r\n<figcaption><em>Dados de rendimento brutos e limpos no GeoPard<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Dados de rendimento\u00a0<\/strong>Permite tomar decis\u00f5es mais informadas e melhorar a efici\u00eancia do cultivo.<br \/>Zonas de manejo de campo constru\u00eddas a partir de dados de produtividade de v\u00e1rios anos s\u00e3o adequadas para uma avalia\u00e7\u00e3o inicial do potencial de produtividade e da variabilidade de nutrientes do solo, permitindo a tomada de decis\u00f5es futuras sobre o manejo da cultura.<\/p>\r\n<p>A an\u00e1lise dos dados de produtividade pode ser convertida em um mapa de aplica\u00e7\u00e3o de taxa vari\u00e1vel e usada, por exemplo, para a aplica\u00e7\u00e3o de fertilizantes. Sua calibra\u00e7\u00e3o \u00e9 outro t\u00f3pico que voc\u00ea precisa considerar, e abordaremos isso em uma postagem separada no blog.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>A an\u00e1lise avan\u00e7ada no GeoPard\u00a0<\/strong>\u00c9 poss\u00edvel realizar an\u00e1lises multicamadas combinando v\u00e1rias camadas de dados em um \u00fanico mapa e procurando rela\u00e7\u00f5es entre as camadas de dados.\u00a0<\/p>\r\n<p>Zonas de produtividade combinadas podem ser geradas com base em \u00edndices de vegeta\u00e7\u00e3o obtidos por imagens de sat\u00e9lite, topografia, dados de m\u00e1quinas agr\u00edcolas como rendimento, condutividade el\u00e9trica, umidade do solo, entre outros, bem como resultados de an\u00e1lises agroqu\u00edmicas.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Visualiza\u00e7\u00e3o de arquivos de rendimento\u00a0<\/strong>O processo \u00e9 realizado automaticamente ap\u00f3s o download do arquivo, incluindo o processamento e a limpeza. Duas vers\u00f5es dos mapas s\u00e3o mostradas abaixo: a imagem original com os dados do monitor do equipamento e a visualiza\u00e7\u00e3o do GeoPard.<\/p>\r\n<p>Os dados brutos foram convertidos em uma imagem de superf\u00edcie cont\u00ednua com gradiente, para facilitar a compreens\u00e3o da heterogeneidade do campo e a cria\u00e7\u00e3o de zonas de gest\u00e3o.<\/p>\r\n<p>Cada um dos atributos do arquivo de rendimento est\u00e1 dispon\u00edvel para visualiza\u00e7\u00e3o, como umidade, massa de rendimento, volume de rendimento \u00famido e seco, for\u00e7a descendente, consumo de combust\u00edvel, velocidade da m\u00e1quina e assim por diante.<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Corre\u00e7\u00e3o de dados brutos\u00a0<\/strong>Isso significa que, se um ponto no campo for at\u00edpico, ele ser\u00e1 suavizado (por exemplo, trabalhando em uma \u00e1rea que n\u00e3o abrange toda a largura da plataforma de corte da colheitadeira). Ao criar dados de produtividade baseados em zonas, voc\u00ea pode corrigir zonas e pol\u00edgonos individuais.\u00a0<\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>Vamos analisar alguns exemplos pr\u00e1ticos de utiliza\u00e7\u00e3o de mapas de produtividade e outras camadas de dados do GeoPard.<\/strong><\/p>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>1. Zonas de gest\u00e3o baseadas em dados de produtividade.<\/strong>\u00a0As zonas de gest\u00e3o podem ser constru\u00eddas com base em dados de produtividade de um \u00fanico ano ou de v\u00e1rios anos. \u00c9 importante notar que n\u00e3o \u00e9 poss\u00edvel combinar diretamente produtividades de anos diferentes, pois isso resultaria em uma tend\u00eancia a favorecer um dos anos.<\/p>\r\n<p>Para reduzir esse efeito, o GeoPard aplica diversos algoritmos para equilibrar o peso de cada ano. Voc\u00ea pode definir a import\u00e2ncia de um ano espec\u00edfico atrav\u00e9s da ferramenta Peso ao criar um mapa multicamadas.<\/p>\r\n<p>Essas zonas de gest\u00e3o de campo podem ser usadas para construir mapas de aplica\u00e7\u00e3o\/prescri\u00e7\u00e3o\/Rx (VRA), calculando o rendimento potencial em cada zona.<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"326\" data-permalink=\"https:\/\/geopard.tech\/pt-br\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/geopard_vr_seeding_m\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?fit=1680%2C874&amp;ssl=1\" data-orig-size=\"1680,874\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Multi-year and multi-layer yield potential map\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?fit=1024%2C533&amp;ssl=1\" class=\"alignnone wp-image-326\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=810%2C422&#038;ssl=1\" alt=\"Mapa de potencial de rendimento plurianual e multicamadas\" width=\"810\" height=\"422\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=1024%2C533&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=300%2C156&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=768%2C400&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=1536%2C799&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?resize=1200%2C624&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?w=1680&amp;ssl=1 1680w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_VR_seeding_m.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>\r\n<figcaption><em>Mapa de potencial de rendimento plurianual e multicamadas<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>2. Zonas multicamadas com dados de produtividade e outras fontes de dados (topografia, solo, sensor, sat\u00e9lite).\u00a0<\/strong>Pode ser adicionado a <a href=\"\/pt-br\/blog\/analise-multicamadas\/\">an\u00e1lise multicamadas<\/a>\u00a0e defina o peso que ter\u00e1 nas zonas finais.<\/p>\r\n<p>Neste exemplo, tr\u00eas camadas de dados s\u00e3o adicionadas ao mapa: Produtividade, Imagens de sat\u00e9lite e Topografia. Voc\u00ea pode combinar quaisquer camadas de dados que considerar relevantes para a an\u00e1lise. O mapa multicamadas pode ser usado para an\u00e1lises de produtividade mais aprofundadas e para a cria\u00e7\u00e3o de mapas VRA (\u00c1rea de Redu\u00e7\u00e3o de Valor).\u00a0<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" decoding=\"async\" width=\"810\" height=\"351\" data-attachment-id=\"327\" data-permalink=\"https:\/\/geopard.tech\/pt-br\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/2021-02-02__184019\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?fit=1680%2C729&amp;ssl=1\" data-orig-size=\"1680,729\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Yield, Topography and Satellite imagery\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?fit=1024%2C444&amp;ssl=1\" class=\"wp-image-327\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=810%2C351&#038;ssl=1\" alt=\"Produtividade, topografia e imagens de sat\u00e9lite\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=1024%2C444&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=300%2C130&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=768%2C333&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=1536%2C667&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?resize=1200%2C521&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?w=1680&amp;ssl=1 1680w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184019.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>\r\n<figcaption><em>Zonas multicamadas: produtividade, topografia e imagens de sat\u00e9lite<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>3. C\u00e1lculo de rendimento por zona e por campo.\u00a0<\/strong>Para analisar diferentes tratamentos, variedades de sementes e pr\u00e1ticas agron\u00f4micas, provavelmente voc\u00ea desejar\u00e1 comparar a produtividade m\u00e9dia e total em cada zona, faixa ou entre os campos.<\/p>\r\n<p>O GeoPard calcula isso automaticamente para voc\u00ea, facilitando a compara\u00e7\u00e3o da produtividade em n\u00fameros absolutos.\u00a0<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"329\" data-permalink=\"https:\/\/geopard.tech\/pt-br\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/geopard_yield_estima\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_Yield_estima.png?fit=626%2C938&amp;ssl=1\" data-orig-size=\"626,938\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"GeoPard calculates yield in abs numbers based on Yield files. Total and average for field and each zone\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_Yield_estima.png?fit=626%2C938&amp;ssl=1\" class=\"alignnone wp-image-329\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_Yield_estima.png?resize=626%2C938&#038;ssl=1\" alt=\"O GeoPard calcula a produtividade em n\u00fameros absolutos com base em arquivos de produtividade. Total e m\u00e9dia para o campo e para cada zona.\" width=\"626\" height=\"938\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_Yield_estima.png?w=626&amp;ssl=1 626w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_Yield_estima.png?resize=200%2C300&amp;ssl=1 200w\" sizes=\"(max-width: 626px) 100vw, 626px\" \/>\r\n<figcaption><em>O GeoPard calcula a produtividade em n\u00fameros absolutos com base em arquivos de produtividade. Total e m\u00e9dia para o campo e para cada zona.<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>4. Zonas de depend\u00eancia baseadas em<\/strong> Dados de produtividade. Zonas baseadas em dados de produtividade podem ser sobrepostas a outras zonas de dados, e voc\u00ea pode pesquisar depend\u00eancias entre as camadas de dados. Este exemplo mostra a sobreposi\u00e7\u00e3o de alta produtividade e prote\u00edna m\u00e9dia (1) e baixa produtividade e alta prote\u00edna (2) de diferentes variedades de trigo em um campo.<\/p>\r\n<p>Outros exemplos incluem a rela\u00e7\u00e3o entre a influ\u00eancia da topografia na produtividade, a intersec\u00e7\u00e3o entre baixas produtividades e a falta de macro e micronutrientes no solo, a umidade do solo e as camadas de condutividade el\u00e9trica (CE).<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"330\" data-permalink=\"https:\/\/geopard.tech\/pt-br\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/2021-02-02__184254\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?fit=895%2C1003&amp;ssl=1\" data-orig-size=\"895,1003\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Intersections of different yield and protein levels\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?fit=895%2C1003&amp;ssl=1\" class=\"alignnone wp-image-330\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?resize=810%2C908&#038;ssl=1\" alt=\"Interse\u00e7\u00f5es de diferentes n\u00edveis de rendimento e prote\u00edna \" width=\"810\" height=\"908\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?w=895&amp;ssl=1 895w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?resize=268%2C300&amp;ssl=1 268w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/2021-02-02__184254.png?resize=768%2C861&amp;ssl=1 768w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>\r\n<figcaption><em>Interse\u00e7\u00f5es de diferentes n\u00edveis de rendimento e prote\u00edna<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>5. Mapas de aplica\u00e7\u00e3o de taxa vari\u00e1vel (VRA)\u00a0<\/strong>Com base em dados de produtividade, voc\u00ea pode criar mapas de prescri\u00e7\u00e3o para diferentes opera\u00e7\u00f5es \u2013 fertiliza\u00e7\u00e3o, semeadura, pulveriza\u00e7\u00e3o, irriga\u00e7\u00e3o e planejamento de amostragem de solo. Voc\u00ea pode editar o n\u00famero e o formato das zonas.<\/p>\r\n<p>Voc\u00ea tamb\u00e9m pode criar um mapa de prescri\u00e7\u00e3o para uma aplica\u00e7\u00e3o de taxa vari\u00e1vel combinando dados de produtividade com outras fontes de dados (solo, condutividade el\u00e9trica, sat\u00e9lite, topografia).\u00a0<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-large is-resized\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"332\" data-permalink=\"https:\/\/geopard.tech\/pt-br\/blog\/7b27v4yf41-yield-data-and-analytics-in-geopard\/geopard_seeding_rate\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?fit=1680%2C696&amp;ssl=1\" data-orig-size=\"1680,696\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Variable rate Seeding rates per zone\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?fit=1024%2C424&amp;ssl=1\" class=\"wp-image-332\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=810%2C336&#038;ssl=1\" alt=\"Taxa vari\u00e1vel de semeadura por zona\" width=\"810\" height=\"336\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=1024%2C424&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=300%2C124&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=768%2C318&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=1536%2C636&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?resize=1200%2C497&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?w=1680&amp;ssl=1 1680w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2021\/09\/GeoPard_seeding_rate.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>\r\n<figcaption><em>Taxas de semeadura vari\u00e1veis por zona<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Mesmo que voc\u00ea n\u00e3o tenha dados de produtividade, voc\u00ea pode usar o GeoPard.\u00a0<a href=\"https:\/\/geopard.tech\/pt-br\/blog\/r8yc32d9jc-zonas-plurianuais\/\" target=\"_blank\" rel=\"noreferrer noopener\">zonas plurianuais (at\u00e9 33 anos)<\/a>\u00a0com base em imagens de sat\u00e9lite ou\u00a0<a href=\"https:\/\/geopard.tech\/pt-br\/blog\/comparacao-de-camadas-de-dados-para-embasar-decisoes-sobre-culturas-agricolas\/\">combine-o com outras camadas de dados, como a topografia.<\/a>\u00a0Para iniciar sua jornada na agricultura de precis\u00e3o. Essas an\u00e1lises geralmente se correlacionam com dados anal\u00edticos de produtividade, mas isso \u00e9 outra hist\u00f3ria.<\/p>\r\n<hr \/>\r\n<h2>Perguntas frequentes<\/h2>\r\n<hr \/>\r\n<p><strong>1. Como realizar uma an\u00e1lise de rendimento?<\/strong><\/p>\r\n<p>A an\u00e1lise de rendimento \u00e9 um processo utilizado para avaliar a produtividade e o desempenho de uma cultura ou sistema agr\u00edcola. A seguir, est\u00e3o os passos para realizar uma an\u00e1lise de rendimento b\u00e1sica:<\/p>\r\n<ul>\r\n<li><strong>Me\u00e7a a produ\u00e7\u00e3o total colhida.<\/strong>Recolha todos os produtos colhidos numa \u00e1rea espec\u00edfica e pese-os.<\/li>\r\n<li><strong>Determine a \u00e1rea<\/strong>Me\u00e7a ou calcule a \u00e1rea total de terra da qual a colheita foi obtida.<\/li>\r\n<li><strong>Calcule o rendimento por unidade de \u00e1rea:<\/strong> Divida a produ\u00e7\u00e3o total colhida pela \u00e1rea para obter a produ\u00e7\u00e3o por unidade de \u00e1rea (por exemplo, produ\u00e7\u00e3o por hectare).<\/li>\r\n<li><strong>Comparar e analisar:<\/strong> Compare a produtividade obtida com os dados dos anos anteriores ou com as m\u00e9dias regionais para avaliar o desempenho e identificar quaisquer varia\u00e7\u00f5es ou tend\u00eancias.<\/li>\r\n<\/ul>\r\n<p>A an\u00e1lise de rendimento ajuda os agricultores a tomar decis\u00f5es informadas, monitorar a produtividade das culturas e identificar \u00e1reas para melhoria em suas pr\u00e1ticas agr\u00edcolas.<\/p>\r\n<p><strong>2. O que s\u00e3o dados de rendimento?<\/strong><\/p>\r\n<p>Os dados de produtividade referem-se \u00e0s informa\u00e7\u00f5es coletadas e registradas sobre a quantidade de colheita ou produto agr\u00edcola obtida em uma \u00e1rea espec\u00edfica de terra. Incluem medi\u00e7\u00f5es ou estimativas da quantidade de produ\u00e7\u00e3o colhida, geralmente expressa em termos de peso ou volume.<\/p>\r\n<p>Oferece informa\u00e7\u00f5es valiosas sobre a produtividade e o desempenho das culturas, ajudando os agricultores a tomar decis\u00f5es informadas sobre suas pr\u00e1ticas agr\u00edcolas, avaliar a efic\u00e1cia de diferentes t\u00e9cnicas ou insumos e monitorar tend\u00eancias ou varia\u00e7\u00f5es na produ\u00e7\u00e3o agr\u00edcola ao longo do tempo.<\/p>\r\n<p><strong>3. O que \u00e9 potencial de rendimento?<\/strong><\/p>\r\n<p>O potencial de rendimento refere-se ao rendimento m\u00e1ximo ou n\u00edvel de produ\u00e7\u00e3o que uma cultura pode atingir em condi\u00e7\u00f5es ideais de cultivo. Representa o limite m\u00e1ximo do que uma variedade espec\u00edfica de cultura ou esp\u00e9cie vegetal pode produzir em termos de quantidade e qualidade.<\/p>\r\n<p>O potencial de rendimento \u00e9 influenciado por diversos fatores, como gen\u00e9tica, condi\u00e7\u00f5es ambientais, disponibilidade de nutrientes e pr\u00e1ticas de manejo. Ele serve como um par\u00e2metro ou ponto de refer\u00eancia para agricultores e agr\u00f4nomos avaliarem o desempenho e a produtividade de diferentes variedades de culturas e identificarem \u00e1reas onde melhorias podem ser feitas para otimizar os n\u00edveis de rendimento.<\/p>","protected":false},"excerpt":{"rendered":"<p>Neste artigo: Utilizando an\u00e1lises de produtividade na agricultura de precis\u00e3o; An\u00e1lise detalhada de dados de produtividade no GeoPard Agriculture; Visualiza\u00e7\u00e3o de cada atributo em arquivos de produtividade; Corre\u00e7\u00e3o de\u2026<\/p>","protected":false},"author":210157960,"featured_media":1472,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1587,1368],"tags":[1617],"class_list":["post-322","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-partnership","category-yield","tag-geopard"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Yield analytics for Ag business<\/title>\n<meta name=\"description\" content=\"In this article, you can find content to help you properly use yield data in precision farming. 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