Satellite Data in Agriculture

Fig 1: Most widely used Satellites
  1. Progressive Farm Analysis — Because a satellite has a designated frequency as explained above, it will circle and cover an individual piece of land multiple times in a crop season. This allows farmers to get a sequence of snapshots of the farm’s performance over the months.
  2. Accurate understanding — Satellite imagery provides a more detailed and more accurate picture of any given field. It highlights things across many different criteria, from crop type, crop health, fertiliser requirement, irrigation requirements and other problem areas.
  3. Better targeted scouting efforts — With images being taken and analysed in regular intervals, farmers are able to detect trouble areas, and optimise the scouting efforts in a much more targeted way.
  4. Predict agricultural output — Constant data driven feedback on trouble areas and real time farm performance can also help in predicting end of season yield and anticipate, mitigate the effects of food shortages and famines well in advance.

Transforming satellite data into useful insights — Vegetative Indices (NDVI & EVI)

Fig 2: Representation of solar reflection from plants
Fig 3: NDVI over a farm land
Fig 4: NDVI over a farm land
Fig 5: Understanding the colours of NDVI

GramworkX Kisan App integrates NDVI — Our solution

  1. Farmers draw their farm coordinates on the app by simple touch and draw polygons. The land acreage and other basic details are shown to the farmer.
  2. The latest NDVI image is shown for the drawn plot in the app
  3. The crop progress, crop health across different parts of the farm are visualized for the plot
  4. Real time feedback and advisory is provided to assist the user in his decision making.
Fig 6: GramworkX Kisan App — NDVI for farmers
  • Through observing, analyzing, and interpreting the regular snapshots, farmers can monitor the real time growth of the crops, separate high health vs low health segments of the farm, detect areas of concern within the field faster and establish normal growing crop patterns for specific areas of the farm.
  • We provide both generic recommendations as well as crop phenology based recommendations. These recommendations are constantly validated on ground and hence are highly accurate.
  • Farmers can see historic NDVI since the time their subscription started on the app itself. This removes the need of any physical log book entries, eradicating any scope of human error.
  • The recommendations are easy to understand and we connect manually with farmers, field officers as well to provide necessary support.

Future of Satellite Farming and GramworkX’s vision with NDVI service

  • Cloud coverage can play a pivotal role in the quality of information available in a satellite image. High cloud coverage can obscure the image, rendering it less effective to give farm predictions.
  • Remote sensing is a fairly expensive method of analysis especially when measuring or analysing smaller areas
  • It is a data intensive process. Since satellites are gathering so much data regularly, special training as well as highly specialised infrastructure is required to process the data at high rates.

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