Source: PIB
Context:
Millions of Indian farmers depend on rainfall for Kharif crops, which form the backbone of their income and livelihood. Accurate and timely monsoon forecasts are crucial for decisions on crop selection, sowing schedules, irrigation, and risk management. In a first-of-its-kind initiative, the Ministry of Agriculture and Farmers’ Welfare (MoAFW) has harnessed artificial intelligence (AI) to deliver advanced, farmer-centric monsoon forecasts across India.
Key Highlights:
- AI-Based Forecasting Models:
- The MoAFW integrated Google’s Neural GCM and ECMWF’s AI Forecasting System (AIFS) to create highly accurate predictions of monsoon onset, intensity, and progression, outperforming conventional weather models.
- Targeted Dissemination:
- Forecasts were sent via m-Kisan SMS platform to 3.8 crore farmers across 13 states, providing region-specific guidance up to four weeks in advance.
- Real-Time Monitoring:
- Weekly updates informed farmers of mid-season variations, such as pauses in rainfall, enabling timely agricultural interventions.
- Farmer-Centric Design:
- Teams from Development Innovation Lab – India and Precision Development ensured that information was understandable, actionable, and tailored to local farming needs.
Significance and Impact:
- Enhances farmers’ ability to plan Kharif crops efficiently and reduce climate-related risks.
- Strengthens resilience against climate variability, supporting sustainable agricultural practices.
- Positions India as a global leader in applying AI for real-world agricultural challenges.
- Empowers informed decisions on sowing, irrigation, and crop management, potentially improving yields and farmer incomes.
