
The Indian Authorities has employed the usage of Synthetic Intelligence (AI) throughout the agriculture sector to enhance crop productiveness, promote sustainability and strengthen farmer livelihoods. Minister of State for Agriculture and Farmers Welfare Ramnath Thakur detailed these initiatives in a written reply within the Lok Sabha on December 9, 2025.
AI Chatbot Strengthens Farmer Outreach
A key initiative is ‘Kisan e-Mitra’, an AI-enabled voice-based chatbot designed to help farmers with queries associated to the PM-Kisan Samman Nidhi scheme, PM Fasal Bima Yojana and Kisan Credit score Card, amongst different schemes. Out there in 11 regional languages, the system presently handles greater than 8,000 queries every day and has responded to over 93 lakh farmer questions to this point.
Pest Surveillance System Enhances Crop Safety
The Authorities has additionally operationalised the Nationwide Pest Surveillance System, which leverages AI and Machine Studying to detect pest infestations early and cut back crop losses linked to local weather change. Greater than 10,000 extension employees are utilizing the device, which presently helps 66 crops and over 432 pests. Farmers can add photos of pests for real-time advisories, whereas AI-driven analytics support satellite-based crop mapping and crop-weather monitoring.
“AI-based analytics utilizing subject pictures for satellite-based crop mapping is being utilized in Crop-weather matching monitoring of crops sown,” the Minister stated.
AI-Based mostly Forecasting Helps Sowing Selections
As well as, an AI-based monsoon onset forecasting pilot was undertaken in partnership with the Improvement Innovation Lab–India for the Kharif 2025 season throughout components of 13 states. Utilizing an open-source blended mannequin integrating NeuralGCM, ECMWF’s (European Centre for Medium-Vary Climate Forecasts) Synthetic Intelligence Forecasting System and 125 years of IMD rainfall knowledge, the system supplied probabilistic native monsoon onset predictions—important for figuring out sowing dates.
Farmer Response Signifies Vital Impression
The forecasts have been disseminated to three.88 crore (3,88,45,214) farmers by way of SMS on the M-Kisan portal in 5 regional languages—Hindi, Odia, Marathi, Bangla, and Punjabi—in 13 states. Suggestions from surveys performed by way of Kisan Name Centres in Madhya Pradesh and Bihar indicated that 31–52 per cent of farmers modified their planting selections based mostly totally on these alerts, adjusting sowing dates, land preparation, and crop or enter decisions.

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