India’s next agricultural revolution will be AI-driven: Minister Jitendra Singh

Mumbai: India’s next agricultural revolution will be driven by artificial intelligence (AI), Union Minister of Science and Technology and Earth Sciences Jitendra Singh has said, positioning AI as the central pillar of farm policy, research and investment architecture at the AI4Agri 2026 Summit in Mumbai.

Addressing the inaugural session of the 'Global Conference on AI in Agriculture and Investor Summit 2026' here on Sunday, the Minister said AI offers, for the first time, scalable solutions to structural challenges that have long constrained farm productivity: erratic weather, information asymmetry and fragmented markets. 

“What AI offers is not a new diagnosis. It offers, finally, a prescription that can scale,” he said, noting that even a 10% productivity gain for the 600 million farmers across the Global South would amount to what he described as the single largest poverty-reduction opportunity of the century.

Framing agriculture as a strategic sector rather than a legacy one, Singh linked the AI push to the ₹10,372-crore India AI Mission, which is building sovereign compute capacity, datasets and startup infrastructure at scale.

He highlighted BharatGen, India’s government-owned large language model ecosystem, which has already released 'Agri Param', a domain-specific agriculture model operating in 22 Indian languages, enabling farmers to access advisory support in their own language. 

“This is AI that speaks to a farmer in Marathi, Bhojpuri or Kannada,” he said, underscoring the importance of linguistic inclusion.

The Minister said the Department of Science and Technology was supporting an open, interoperable India AI Open Stack to ensure that agri-AI solutions developed anywhere in the country can plug into a national framework. The Anusandhan National Research Foundation is funding deep-tech and AI research in collaboration with IITs, IISc and ICAR, including agriculture applications.

Singh pointed to drone and satellite mapping that is already strengthening Soil Health Cards and the Swamitva Mission by providing verified land and soil data, and to investments in climate intelligence where earth sciences and AI are being integrated into early warning systems to help farmers “plan, not panic”. 

The role of biotechnology, he said, would be critical in developing resilient and disease-resistant crops, including early asymptomatic detection of pests and plant diseases, and in advancing a circular crop economy.

Highlighting the scale of opportunity, Singh said India’s 140 million farm holdings, most of them small and marginal, could together generate an estimated Rs 70,000 crore in annual value if AI-enabled advisories help each farmer save even Rs 5,000 a year through better input timing, pest prediction and market linkage. He cited Maharashtra’s ₹500-crore MahaAgri-AI Policy 2025–29 as a model, adding that the Centre would align and amplify such State-level initiatives.

The Union Budget 2026–27 has proposed ‘Bharat-VISTAAR’ — a multilingual AI tool integrating AgriStack portals and ICAR’s agricultural practices package with AI systems — to provide customised advisory support and reduce farm risk, he noted. The focus, he said, is on small, purpose-built AI models trained on Indian soil types, climate zones and crop varieties, deployable even in low-connectivity rural areas through mobile phones and farm equipment.

Calling for a federated national architecture, Singh said agri digital public infrastructures such as MahaAgriX should evolve into a national agri data commons. He invited stakeholders to contribute to a proposed National Agri-AI Research Network — a collaboration between DST, State governments, ICRISAT, ICAR and global institutions — to build India-specific foundational datasets for crops, soil and climate.