India's agricultural transformation: AI emerges as a crucial lever for future-ready farming
India is harnessing AI to transform its agricultural sector, blending digital innovation with public infrastructure. While new initiatives promise resilience and productivity, challenges remain in ensuring equity, openness and robust governance.
India’s vast and diverse agricultural sector is approaching a pivotal moment, as artificial intelligence (AI) begins to redefine how farmers grow food, manage risk, and adapt to shifting climates. While the Green Revolution once propelled productivity, the next leap may come from technologies that predict, personalise, and democratise agricultural decision-making at scale.Historical context: from productivity to predictabilityIndian agriculture has grappled with weather volatility, fragmented landholdings, and unpredictable markets. According to the most recent Agriculture Census, the average operational holding stands at just 1.08 hectares—a reality that amplifies the need for solutions tailored to hyperlocal contexts. As traditional approaches reach their limits, digital innovation offers new hope for smallholders facing mounting pressures.Building a digital backbone for Indian farmsdigital public infrastructure. The AgriStack initiative, led by the government, is assembling core registries for farmer identity, geospatial mapping, and crop data. By linking who farms what and where, AgriStack creates a verified foundation for data-driven advice, while prioritising consent-based data sharing. Such infrastructure is critical for moving beyond one-size-fits-all recommendations to insights tailored for every plot.Bharat VISTAAR, an initiative designed to bring AI-powered advisory directly to farmers—often via simple voice calls and basic mobile phones, not just smartphones. By fusing AgriStack records with guidance from the Indian Council of Agricultural Research (ICAR), Bharat VISTAAR positions AI as a public service, lowering barriers to access for millions of smallholders.State-level pilots and public-private collaborationRisks: data diversity, digital divides, and controlGovernance, financing, and the road aheadInclusivity and resilience: the future of AI in Indian agriculture