Latest Technologies to Adapt in Agriculture

profile picture BookMyCrop Oct 25, 2021

The use of digital technologies in precision agriculture has changed the way farmers handle crops and manage fields in recent years. Without being an expert, anybody can see how technology has changed farming and made it more efficient, safe, and profitable.

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Farmers have chosen five technologies that they believe are the best among others:

  • GIS software and GPS agriculture

  • Satellite imagery

  • Drone and other aerial imagery

  • Farming software and online data

  • Merging datasets

As a result, the ever-evolving digital agriculture provides enormous benefits to modern farms. These advantages include reduced water, nutrient, and fertiliser usage, reduced negative impact on the surrounding ecology, reduced chemical runoff into local groundwater and rivers, improved efficiency, lower pricing, and many more. As a result, the company becomes more cost-effective, intelligent, and sustainable.

Let's take a look at some of these agricultural technologies.

GIS-Based Agriculture:

Because fields are location-based, GIS software becomes a tremendously beneficial tool in precision farming. When it comes to weather, farmers can utilise GIS software to see what changes are occurring now and in the future. It also permits the use of GPS-based treatments in conjunction with smart machinery to optimise fertiliser and pesticide application; because farmers do not have to treat the entire field, but simply deal with specific regions, they may save money, effort, and time.

Another key benefit of GIS-based agriculture is the use of satellites and drones to collect essential data from a bird's eye view on weather, soil conditions, plants, and topography. This type of data considerably increases decision-making accuracy. GIS software will help you to buy crops online and get fresh produce delivered to your doorstep.

Satellite-Derived Data:

Predicting yields and doing near-real-time field monitoring with satellite data in service to detect a number of risks has never been easier.

The sensors can provide imagery in a variety of spectrums, allowing the use of a variety of spectral indices such as the Normalized Difference Vegetation Index (NDVI). NDVI detects vegetation content, the number of wilting plants, and general plant health. The Canopy Chlorophyll Content Index (CCCI) is next, which aids in fertiliser application. The Normalized Difference RedEdge (NDRE) is used to determine the Nitrogen content. Finally, the Modified Soil-Adjusted Vegetation Index (MSAVI) is intended to reduce soil background impact during the early developmental phases of plants; the list goes on. With all of these derived data, you can buy crops online by sitting at your home.

Data from the Sky using Drones:

Farmers may define crop biomass, plant height, weed presence, and water saturation on specific field regions with great precision with the use of drones. In comparison to satellites, they provide better and more accurate data with higher resolution. They deliver crucial information even faster than scouts when they are managed locally. Drones are also regarded as unequalled aides in the struggle against insects; the invasion is stopped by applying insecticide to hazardous areas using drones, all while decreasing the possibility of direct exposure resulting in chemical toxicity.

Despite the fact that drones are simple to use and capable of collecting massive quantities of data in short periods of time, there are still obstacles when employing them on a regular basis because they are not inexpensive. Drones are nearly useless when it comes to mapping or monitoring broad areas, and it is preferable to supplement the technology with satellite monitoring among already mapped areas, where specific zones need to be cross-checked.

Online Data is the key to precise farming:

EOS has built Crop Monitoring, a Digital Platform that uses satellite monitoring to speed up a farmer's decision-making so that he does not miss a critical moment of field treatment.

  • Salient Features:

  1. Crop Monitoring enables the use of the Normalized Difference Vegetation Index (NDVI) for crop health tracking. This index measures the amount of chlorophyll in plants, allowing researchers to learn about their health. Higher NDVI readings indicate healthier vegetation since the more chlorophyll available to the plant, the healthier it is.

  2. A Scouting app is another useful element of Crop Monitoring. It is a mobile and desktop programme that makes use of digitised field maps. A farmer can use this programme to give several jobs to scouts with a few clicks. Add a field, place a pin, and assign a task. When a task is assigned, a scout goes directly to the chosen spot and inspects problem areas, inspects pest activity, does weed management operations, and so on, immediately writing notes in the app. This allows for inspection of problem areas only as necessary, allowing for adequate time to take essential preventative measures.

  3. Weather forecasting. Farmers can accurately administer irrigation and avoid frost or heat damage by using meteorological data in conjunction with plant condition data collected from satellite photography. Drip irrigation with automatic or manual valve control, for example, is one of the greatest strategies for avoiding drought difficulties since the farmer can apply the needed amount of water to dry areas.

  4. The fact that Crop Monitoring is based on satellite photography is its most significant advantage. It assists in analysing field conditions or the state of specific areas and extracting valuable information on the fly, allowing for faster optimal reaction time as well as making reliable decisions - what crops to plant, when to harvest, how to effectively plan for the next season, how much nutrients and fertilisers to apply, and many other things.

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Combining Data:

Crop Monitoring must occasionally combine multiple data types in order to gain important insights for your crops. To begin, the user can compare his field's performance to the average performance of all fields in the particular district. To address this difficulty, various datasets obtained from all of your district's fields are compared. For the time being, such comparisons can only be made using the NDVI vegetation index, but in the near future, we will expand the Platform's analytical capabilities by adding more indices.

Weather data analysis is the next useful function that makes use of a variety of data sets. It includes the following options:

  • "Winter kill" alerts you when low temperatures threaten your winter crops.

  • "Cold stress" emphasises days where the temperature fell below -6°C to assess frost damage to early crops.

  • "Heat stress" refers to days with temperatures exceeding +30°C in order to assess the damage caused by heat stress.

This tool also allows you to track precipitation and temperature.

Disclaimer: All the data mentioned in this article is only for information purposes and is fetched from reliable sources.


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