Blog / Whats / Types Of Remote Sensing in Agriculture

Types Of Remote Sensing in Agriculture

Types Of Remote Sensing
7 mins read |
Share

There has been an increase in the utilization of advanced tech in cultivating recently. Agricultural practices today are significantly more effective, coherent, and streamlined in contrast with conventional agrarian practices. The use of advanced methods, for instance, crop yield estimation in all aspects of the cultivating process can produce an ideal yield and a better harvest.

To guarantee a higher yield, farmers need to ensure the best health of their crops. While the use of customary systems restricted the observation of bigger regions, as the farmers were relied upon to physically visit all parts of the land. The most recent innovation has given an assortment of ways through which farmers can without much of a stretch screen the quality of crops in bigger regions.

Types Of Remote Sensing in Agriculture

What is remote sensing:

Remote sensing fundamentally involves the checking of land from advanced equipment from far distances. The checking includes the physical characteristics of a piece of land. The process works by estimating the produced and reflected radiation from the land, which helps structure a picture of the land which assists specialists with passing judgment on specific parts of the land.

What is Remote Sensing used for

To augment crop development and increase yield in a tough market, producers tend to exploit the most recent tech accessible. To guarantee the greatest yield, farmers need the harvests to remain in the most ideal health. Observing the strength of harvests over a huge region becomes significantly simpler with the utilization of remote sensing. The data gathered from the process supports precision growing, empowering farmers to accomplish higher yields from their harvests.

How does Remote Sensing Work?

Remote Sensing

The process of remote sensing works through information gathered by different devices over a period. The gathered data can then be used to analyze different aspects of the crop and yield. This analysis is used for making changes to the crops to ensure maximum output. The process can be used to conduct a variety of analyses and implement measures accordingly. Common threats faced by farmers are pest infestation and weeds in the crops. Remote sensing in agriculture can help detect those early on and warn the farmers to take the necessary countermeasures to ensure the health of crops. To carry out the process over different areas of land fluctuating in sizes and sorts of harvests, various kinds of devices and sensors are utilized.

Types of Sensors

Sensors of various sorts are utilized together to gather various kinds of information over fluctuating sizes of grounds. Sensors are fundamentally categorized into their logistical types. There are satellite sensors, Aerial sensors, and ground-based sensors.

These sensors can be further categorized such as the ground sensors and can come in varying configurations. There are handheld ground sensors, there are vehicle-mounted ground sensors, such as the ones mounted to tractors and there are free-standing ground sensors that are typically mounted to posts and bigger trees. Ground-based sensors are commonly used for checking the nutrient levels, the moisture content in soil and the weather. Using these many changes regarding the use of fertilizers and irrigation can be made to keep the yield high.

The next category of sensors is Aerial sensors. Through the availability of drones, aerial sensors have become quite affordable and accessible. These aerial sensors can take high-resolution pictures of the land, as well as collect other sensor data cruising at low altitudes for longer periods of time over the crops. The data collected through these sensors can help with weed detection, estimating yield, and other detailed analyses such as measuring the soil salinity and the chlorophyll content. While they have become accessible and affordable, they are still rendered inoperable in strong winds and cloudy weather, which is a downside of their use.

The farthest of all the sensor platforms for imaging is the satellite sensor. The use of satellites for any kind of imaging was traditionally for governments and militaries. Using satellite imaging in agriculture helps cover a vast area of land and can help with checking crop status. After an event of a natural disaster, it can help calculate the loss and help estimate crop yield. While there are many upsides to using satellite sensor data, there are many caveats attached to it, for starters, it is expensive and even if you put the cost aside, the imaging must be requested for a specific time typically months in advance. Which could all be for nothing if there is cloud cover in the requested area at the requested time. Governments across the world have started to open satellite imaging for the public, which could make the process a lot easier in the future.

Working of the Sensors

Remote Sensing

 

By identifying the colors in a field of crops, sensors relay information that can be helpful in deducing the status of a plant’s health. Looking at the color of the plant through precise data provided by the sensors, the chlorophyll levels of a plant can be measured through which a farmer can determine any lack in nutrition or a problem with a plant’s health. The simple data can be extracted through common color sensors, but to get complex information, infrared and short-wave sensors are used.

The reflection of light from leaves changes in the infrared spectrum if the leaf is damaged internally, this can also show if there isn’t sufficient water content. One of the most reliable models in agricultural remote sensing is known as the normalized difference vegetation index or NDVI. Using infrared and Red-Edge sensors, the NDVI model can easily identify damaged crops, which gives farmers more reaction time to take effective countermeasures to save the crops.

These sensors can likewise be utilized to check soil health and measure soil saltiness. Soil with unnecessary salt substances will in general be brighter in the infrared range, which can assist with identifying the soil which needs more water system and treatment.

The utilization of thermal sensors can assist with optimizing the irrigation framework. The heat emitted from any source is displayed as a lighter tone in the infrared range. After irrigation a farmer can send an aerial Long-frequency Infrared sensor or LWIR over his fields to check which regions are radiating heat due to poor water systems, so the issues with the irrigation framework can be fixed.

Satellite sensors can cover a wide assortment of capacities. As they can bypass climate conditions, they are ideal for horticultural observing. Aside from the Radar and microwave sensors, the GPS from the satellites gives exact location information which is fundamental in new agricultural innovations like self-operated farming hardware and self-driving farm vehicles.

Advantages of Remote Sensing and GIS in Agriculture

Crop Sown Area Estimation

One of the critical uses of remote sensing in horticulture is the assessment of the Crop sown region. Data from aerial and satellite sensors give a precise analysis of planted regions and helps with risk evaluation if there ought to be an event of disaster or catastrophe.

Crop Disease Identification

Gis remote sensing in agriculture makes it simpler to recognize contaminations and pest attacks in crops over huge areas at starting stages. This gives producers an adequate opportunity to apply any counter means to safeguard the harvests from any tremendous losses. This becomes possible through satellite imaging and examination.

Soil Properties

Perhaps the primary element in ensuring a sound yield of harvests is the appropriate support of soil. It directly influences the harvest. Any progressions in farm management or farming system cause soil changes, which in turn influences soil capacity of production. Characteristics, for instance, Soil salinity, Soil pH, organic substance level and soil texture can be recognized using remote detecting and that data can be analyzed to carry out any significant soil treatment. Soil moisture mapping gives a precise assessment of water content in the soil which can help with carrying out any upgrades in the irrigation system structure.

Flood Impact

Remote Sensing through satellite-based sensors and the data assembled through ground sensors can help with giving a ton of definite information to decide accurate loss assessment. In case of flooding due to excess rainfall, the areas of land with poor drainage frameworks are at risk of waterlogging which causes basic loss of harvests and yield. The loss assessment can help with further planning for the damage control and countermeasures for keeping losses to a minimum.

NATCAT Modeling

Remote Sensing in agriculture can assist with assessing current and forecasting Natural Catastrophe hazards. Utilizing the information relayed by sensors and the behavior of regular risks. This requires risk mapping and calculating hazards through estimating hazards which are finished by PC simulated disaster models. Remote sensing maps prepared with the assistance of historic information and present information gathered from various sensors help in assigning areas of high capability of flooding with high hazard ratings. This aids in farming as regions with higher risk ratings are not planted on and get treated for better flood protection for the subsequent season.

Drone Image Analysis for Crop Damage Assessment

Drone picture analysis is utilized in crop assessment for damages because of hailstorms, tree counting and invasions. The drone imagery is as accurate as of the input spatial resolution. Which can be increased as per the requirement.

Whats
Get the latest news
from GeoPard

Subscribe to our newsletter!

Subscribe
Get the latest news from GeoPard

Subscribe to our newsletter!

Subscribe

Related posts

    Request Demo

    By clicking the button you agree our Privacy Policy

      Subscribe


      By clicking the button you agree our Privacy Policy