Why in the news?
- The Ministry of Agriculture & Farmers Welfare (MoAFW) is implementing an AI-based weather forecasting program targeted at farmers.
AI Weather Forecasting for Farmers
- What is it?: It is the usage of AI powered tools to provide weather forecasts to farmers helping them to plan their farming practices accordingly.
- Nodal Ministry: Ministry of Agriculture and Farmers Welfare
- Key Facts:
- Forecasts are being sent to nearly 3.8 crore farmers, across 13 states using SMS via m-Kisan.
- Forecasts are available up to four weeks in advance of rainfall.
- Models used: a blend of two open-access AI models — Google’s Neural GCM and ECMWF’s Artificial Intelligence Forecasting Systems (AIFS).
- The program involves collaboration with “Development Innovation Lab – India” and “Precision Development”, and direct engagement with farmers to ensure forecasts are understandable and actionable.
- Significance:
- For the farmer:
- Crop Planning: Helps decide sowing, transplanting, irrigation schedules.
- Risk Reduction: Reduces losses from delayed/erratic rains.
- Resource Use Efficiency: Optimises fertilizer and water use.
- Accessibility: Delivered directly through SMS in local languages for easy adoption.
- Climate Resilience: Strengthens India’s adaptation strategy to climate change.
- Digital Agriculture: Example of AI in governance and service delivery.
- Inclusive Growth: Benefits small & marginal farmers, who are most vulnerable to weather shocks.
- Global Leadership: India emerging as a test-bed for AI-driven agricultural innovation.
- For the farmer:
- Challenges:
- Last-mile connectivity: Not all farmers have mobile access or digital literacy.
- Accuracy limits: AI models depend on data quality; local micro-climate variations may reduce reliability.
- Interpretability: Farmers need advisory services, not just raw forecasts.
- Way Forward:
- Institutional coordination: IMD, MoAFW, private partners must integrate seamlessly.
- Integration with Krishi Vigyan Kendras (KVKs): To translate forecasts into actionable advisories.
- Regional Customisation: District/block-level micro-forecasts.
- Capacity Building: Train farmers to interpret and use forecasts.
- Expansion: Scale beyond 13 states to pan-India coverage.
- Synergy: Link with crop insurance schemes (PMFBY) and climate-smart agriculture programs.