India Employs AI To Improve Farm Productivity

The Indian government ran an AI-based pilot for Kharif 2025, issuing probabilistic local monsoon onset forecasts across parts of 13 states and SMS alerts to 38,845,214 farmers in five languages. The open-source blended model—NeuralGCM, ECMWF AIFS and 125 years of IMD rainfall data—led 31–52% of surveyed farmers to adjust sowing or land preparation; complementary AI tools include Kisan e-Mitra and pest surveillance.
Key Points
- 1Deployed probabilistic monsoon forecasts to 38.8 million farmers across 13 states for Kharif 2025
- 2Used open-source blended models combining NeuralGCM, ECMWF AIFS and 125-year IMD rainfall records
- 3Enabled actionable farmer responses: 31–52% changed sowing or land preparation based on forecasts
Scoring Rationale
National-scale, official AI deployments with measurable farmer response; limited novelty beyond piloting and incremental improvements.
Sources
Public references used for this report.
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