In six districts of Maharashtra, the Maha Agri Tech project has announced to use artificial intelligence and satellite imagery to address a range of cultivation risks.
These technologies will be used to:
- Help farmers cope with poo rains,
- tackle pest attacks
- predict crop-wise and area-wise yield
In the first phase of the project, satellite images and analysis of the National Remote Sensing Centre (NRSC) in Hyderabad and the Maharashtra Remote Sensing Application Centre (MRSAC) were successfully used to assess the areas and the conditions of selected crops.
Now, in the second phase, the data sets will be broadened to include:
- Yield modelling
- A geospatial database of soil nutrients
- Rainfall, moisture stress and other parameters
These data sets will be used to facilitate location-specific advisories to farmers. On the basis of these location-specific data, farmers will be advised on crop suitability, inventory, crop damage assessment and early season crop forecasts.
Significance of Maha Agri Tech Pilot Studies
Like many parts of India, agriculture in Maharashtra is still vulnerable to changes in weather patterns. Canal irrigation system has not penetrated a large percentage of agricultural land. The Maha Agri Tech pilot studies have potential for long-term risk mitigation in agriculture in Maharashtra.
The future model is expected to address issues like assessing market conditions and helping farmers get the best price of their produce. It is expected to include commodity-wise demand-supply analysis, sing location-specific fertilizer and helping farmers find warehouse facilities nearby.