Context:
India’s agriculture sector, which supports over 42% of the population and contributes 18.2% to GDP, faces persistent challenges like low yields, high post-harvest losses (up to 15%), and limited access to irrigation, credit, and market linkage. Emerging digital solutions like artificial intelligence (AI) are now being deployed to address these gaps.
AI’s Transformative Impact
- Decision Support Tools: AI is enabling smarter crop planning, pest control, and irrigation.
- Water Efficiency: AI-based irrigation systems can cut water usage by 80% and boost yields by 20–30%.
- Digital Integration: Over 15 million farmers now use AI-enabled platforms that provide personalized insights based on crop, soil, and climate data.
- Post-Harvest Efficiency: AI helps reduce wastage and improves price discovery by directly linking farmers with buyers.
Challenges in Adoption
- Data Gaps: Most land records remain undigitised and crop datasets are limited.
- Digital Literacy: Many farmers are unaware or lack skills to use AI-based tools.
- Regulatory Issues: Absence of standardized frameworks for testing and validating AI solutions in agriculture.
Policy and Structural Reforms Needed
- Agri-Stack Development: Consolidating land, crop, and climate data for targeted interventions.
- IoT and Precision Tech: Use of farm-level monitoring tools to aid in real-time decision-making.
- Training & Capacity Building: Farmer training programs, curriculum reforms in agri-universities, and mentorship for agri-tech startups.
- Supportive Policy Framework: Need for AI validation centers, privacy rules, and AI-linked credit policies.
India’s Global Position in Agri-Tech
- India contributes 12% to global agricultural GVA, second only to China.
- Global agri-AI market to grow from $852.2 million (2019) to $8.3 billion (by 2030).
- Global spending on AI in agriculture to hit $15.3 billion by 2025, with IoT-led farm monitoring expected to reach $4.5 billion.
