AI Set to Transform India’s Agriculture Sector, Says Union Minister
India’s agricultural landscape is on the brink of a significant transformation, driven by the power of artificial intelligence (AI). During the inaugural session of the AI4Agri 2026 Summit in Mumbai, Union Minister of Science and Technology, Dr. Jitendra Singh emphasized AI’s pivotal role in shaping future agricultural policies, research, and investments. He presented AI as a revolutionary solution to age-old challenges hindering farm productivity, including unpredictable weather patterns and fragmented markets.
Dr. Singh highlighted that AI could lead to a remarkable productivity boost—one that could reduce poverty for the 600 million farmers in the Global South. “What AI offers is not merely a diagnosis of agricultural issues but a scalable solution,” he stated, indicating that even a modest 10% productivity increase could represent the most significant poverty reduction opportunity of the century.
Government Initiatives and AI Innovations
Positioning agriculture as a strategic focus for growth, Dr. Singh pointed out that the AI-driven initiatives align with the government’s ₹10,372-crore India AI Mission. This initiative focuses on building robust computational capabilities and nurturing startup ecosystems. He introduced BharatGen, the government’s large language model initiative, which has launched “Agri Param,” a specialized agricultural AI model that works in 22 languages, allowing farmers to receive tailored advice in their native tongues—whether it be Marathi, Bhojpuri, or Kannada.
The Minister showcased ongoing support from the Department of Science and Technology (DST) for a unified framework that facilitates agricultural AI solutions across India. With the backing of the Anusandhan National Research Foundation, deep-tech research is actively collaborating with top institutions to enhance agricultural applications.
Technological Advancements in Agriculture
Moreover, Dr. Singh noted the role of drone and satellite technology in enriching Soil Health Cards and the Swamitva Mission, which provide essential data for informed decision-making among farmers. Investments are also being made in climate intelligence, combining Earth Sciences with AI to establish advanced early warning systems that empower farmers to proactively manage agricultural risks.
In terms of economic potential, he asserted that India’s 140 million farm holdings could yield an estimated ₹70,000 crore annually if AI can help farmers save just ₹5,000 a year through improved practices in input timing and pest management. He cited the Maharashtra government’s ₹500-crore MahaAgri-AI Policy 2025–29 as a successful model for other states to emulate.
Collaboration and Future Goals
In his address, Dr. Singh urged the need for a cohesive national architecture within agricultural digital infrastructures, suggesting that initiatives like MahaAgriX could evolve into a comprehensive Agri Data Commons. He called for widespread collaboration, inviting stakeholders to engage in the proposed National Agri-AI Research Network aimed at creating localized datasets for crops, soil, and climate factors.
Furthermore, he appealed to investors, highlighting the immense potential within the agri-AI sector as the largest untapped productivity market worldwide. Dr. Singh emphasized the importance of nurturing scalable platforms rather than isolated projects, stating, “The true measure of success is the tangible benefits farmers experience from our commitments here today.”
In conclusion, Dr. Singh reiterated the goal of making AI a beneficial tool for farmers. He underscored India’s ambition to not merely be a recipient of global agri-AI advancements but to actively contribute to its development as a co-architect on the world stage.
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