The Next Level In Farming, 5 Technologies to Watch Out For

Gis-Based Agriculture

  • As we know, fields are location-based, and GIS software becomes an excellent useful technical tool in terms of precision farming. 
  • With GIS software farmers can map current and future changes in precipitation, crop yields, plant health and many more. 
  • This system also enables the use of GPS-based application in-line with advanced machinery to maximize pesticides and fertilizer application. 
  • By this system, farmers don’t have to treat the entire field but only deal with certain areas. So, they can achieve conservation of effort, time, and money. 
  • Apart from this, it has another great advantage, and that is the application of drones and satellites to collect the important data of soil condition, vegetation, terrain and weather. 
  • Such data increase the accuracy of decision making. 

Satellite-Derived Data

The sensors allow to give imagery in different spectra, enabling for the numerous spectral indices application, like 

  • Normalized difference vegetation index, allowing for the detection of the amount of wilting plants, vegetation content, and overall plant health. 
  • Canopy chlorophyll content index that helps with nutrient application.
  • Normalized difference red edge detects nitrogen content. 
  • The modified soil adjusted vegetation index to reduce soil background impact at the earliest development stages of plants. 

These are the major applications which are best for farming. 

Data From The Sky – Drones

  • By the help of drones, farmers have a chance to define plant height, crop biomass, the presence of weeds, and water saturation on certain field areas with high precision. 
  • It gives more, better, and fair data with high resolution as compared to satellites. 
  • If they are locally operated, they give fair and valuable information even faster than scouts. 
  • Drones are in the battle against insects, applying pesticides to hazardous areas using drones prevents invasion, while all chemicals reduce the possibility of direct exposure to chemical toxicity.

Drones 

Despite the fact that drones are easy to use and are capable of collecting large amounts of data within short time frames, there are still challenges when using them on a constant basis as they don’t come cheap. Drones are almost helpless where mapping or monitoring of large areas is required, and it is better to complement the technology with satellite monitoring among already mapped areas, where specific zones need to be cross-checked.

Online Data – The Key To Precision Farming

For simplifying the field operation, EOS has designed crop monitoring. It is a digital platform that allows satellite monitoring to speed up farmer’s decision making. Due to this farmer does not miss a crucial point of field treatment. Here are some major features

Normalized difference vegetation index

The crop monitoring system allows the normalized difference vegetation index(NDVI) for tracking crop health. 

This index scans the amount of chlorophyll in plants that obtain information about their condition. 

Scouting App 

It is a mobile and desktop app that employs digital field maps. 

By using this app, a farmer is capable of assigning multiple tasks to scouts in a few clicks. Add a field, drop a pin, set a task. 

Once the task is assigned, a scout moves directly to the selected location and verifies problematic areas at the site, inspects pest activity, performs weed management activities, etc., immediately making records in the app. 

It inspects problem areas only when needed, thereby saving time to take necessary preventative actions.

Weather analysis

Through analyzing weather data with plant condition data derived from satellite imagery, farmers can accurately apply irrigation and prevent frost or heat loss. 

For example drip irrigation is one of the best methods to prevent drought problems, with manual or automatic valve control. 

Thus the farmer can complete the required amount of water to dry areas. 

Combining Data

The Findings On Precise Agriculture

Future Scenario

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