Context:
India’s agriculture sector, employing ~150 million farmers and contributing 18% to GDP, faces climate change, soil degradation, and pest attack challenges. Traditional farming methods are increasingly inadequate, pushing the need for technology-driven, proactive solutions.
Key Challenges
- Climate Volatility: Irregular monsoons affect ~70% of farmland.
- Delayed Information: Crop stress, pests, and nutrient gaps often detected too late.
- Debt Cycle: Losses push farmers into repeated borrowing.
- Declining Soil Health: Excessive and inefficient input use.
Tech-Based Solutions
Artificial Intelligence (AI) + Satellite Intelligence:
- Soil Analysis: Done in hours instead of weeks.
- Hyperlocal Advisories: Based on soil moisture, weather history, and crop growth models.
- Weather & Pest Prediction: Advance alerts for rainfall, heat waves, and infestations.
- Yield Gains: AI-driven advisories have boosted yields by 15–20%.
- Input Efficiency: Fertiliser use reduced by up to 30% without affecting yield.
Example:
- Telangana chilli crop losses avoided via predictive advisories.
Impact Beyond Farming
- Credit & Insurance:
- AI + satellite data create verifiable farm records.
- Faster loan approvals and claim settlements.
- PM Fasal Bima Yojana: Using AI and space tech for better yield estimation and dispute resolution.
- Risk Management: Early warnings allow proactive, targeted interventions.
Policy & Vision
- Vision 2030 for Agriculture: Focus on sustainability and resilience.
- Need for Scale: Moving from pilot projects to nationwide implementation to make proactive, data-driven farming standard.
