AI to Unlock Rs 70,000 Crore Annually for Indian Farmers, Says Minister

Union Minister Dr Jitendra Singh stated that AI-driven advisories could unlock an estimated Rs 70,000 crore in annual value for India's farmers by helping each save Rs 5,000 through better input timing and market linkages. He highlighted the proposed 'Bharat-VISTAAR' AI tool and the Maharashtra Agri-AI policy as key models for this national push. The initiative is part of the broader India AI Mission and focuses on developing small, localized AI models operable in 22 Indian languages for rural accessibility. The minister called for a federated national architecture and patient capital investment to transform pilots into scalable platforms for farmers.

Key Points: Agri-AI Can Generate Rs 70,000 Cr for Farmers Annually

  • AI can save farmers Rs 5,000 each annually
  • Bharat-VISTAAR multilingual AI tool proposed
  • Focus on small, purpose-built AI models for India
  • MahaAgri-AI Policy cited as a model
  • Agri-AI linked to India AI Mission
4 min read

Agri-AI can unlock Rs 70,000 crore a year for farmers: Dr Jitendra Singh

Union Minister Dr Jitendra Singh says AI can unlock Rs 70,000 crore yearly for farmers via better advisories on inputs, pests, and markets.

Agri-AI can unlock Rs 70,000 crore a year for farmers: Dr Jitendra Singh
"What AI offers is not a new diagnosis. It offers, finally, a prescription that can scale. - Dr Jitendra Singh"

Mumbai, Feb 22

India's next agricultural revolution will be driven by artificial intelligence, Union Minister of State for Science and Technology Dr Jitendra Singh said on Sunday, positioning it as the central pillar of farm policy, research, and investment architecture.

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

Highlighting the scale of opportunity, Dr 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 Rs 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.

"What AI offers is not a new diagnosis. It offers, finally, a prescription that can scale," he said, noting that even a 10 per cent 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, Dr Singh linked the AI push to the Rs 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 (DST) is 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.

Dr 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 pest and plant diseases, and in advancing a circular crop economy.

Calling for a federated national architecture, he 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.

The minister also made a direct appeal to investors, describing agri-AI as "the largest untapped productivity market in the world", and urged patient capital to back scalable platforms rather than isolated pilots. The success of the conference, he said, would not be measured by presentations but by how many pilots become platforms and how many farmers make better decisions a year from now because of commitments made here.

"The farmer does not need AI simply for the sake of it. He needs it to be useful. Let that be our compass," he said, concluding with a call for collaborative delivery and reiterating India's intent to act not as a recipient but as a co-architect of global agri-AI frameworks.

- IANS

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Reader Comments

R
Rohit P
Rs 70,000 crore sounds impressive, but the real challenge is last-mile delivery. Will this AI tool actually reach my father in his village with patchy 2G network? The government must ensure the infrastructure is in place first. Good intentions need solid execution.
A
Aman W
Finally, a tech policy that speaks our language! Agri Param in 22 languages is a brilliant move. Most advisories are in English or Hindi, leaving out so many farmers. This linguistic inclusion can build real trust. Jai Kisan! 🙏
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Sarah B
As someone working in sustainable development, I see huge potential. Integrating climate intelligence with AI for early warnings is crucial for Indian agriculture facing climate volatility. Hope this collaborative model with global institutions brings the best tech to our fields.
V
Vikram M
The call for patient capital is spot on. Too many agri-tech startups fail because investors want quick returns. We need platforms, not just pilots. If this national Agri Data Commons becomes a reality, it will unlock innovation like never before.
K
Kavya N
I appreciate the minister's point about the farmer needing useful AI. Technology should serve people, not the other way around. The focus on pest prediction and market linkage can directly impact a farmer's income. Let's hope the implementation is as good as the plan.
M

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