Parallel Session IX on Digital Technologies and Artificial Intelligence in Agriculture at the M.S. Swaminathan Centenary International Conference 2025 brought together experts, policymakers, and innovators to explore the transformative role of AI in India’s agricultural future. The session was chaired with great enthusiasm alongside Shri Abhishek Singh, CEO of the India AI Mission.
The conference, inaugurated on August 7, 2025, by Hon’ble Prime Minister Shri Narendra Modi, began with an inspiring address that underscored India’s vision of achieving sustainable and technology-driven agricultural transformation. The Prime Minister’s remarks set a forward-looking agenda, encouraging stakeholders to embrace digital tools and innovations for enhancing productivity, sustainability, and resilience in the farm sector.
During the session, discussions centred on how Artificial Intelligence can revolutionise agriculture through applications spanning precision farming, predictive analytics, yield optimisation, and empowering farmers to make data-driven decisions. Presenters highlighted that India’s diverse agro-climatic zones and vast farmlands create an unparalleled opportunity to leverage large-scale agricultural datasets for training robust, context-aware AI models tailored to local needs.
Case studies showcased during the dialogue provided tangible evidence of AI’s impact on the ground. From using satellite imagery and IoT-enabled sensors to guide irrigation scheduling, to deploying machine learning algorithms for pest and disease detection, participants demonstrated how AI-driven solutions have led to measurable improvements in crop yield, input efficiency, and farmer income. In several regions, AI-based platforms have enabled early warnings of adverse weather events and crop health risks, giving farmers crucial lead time to mitigate losses.
Experts also emphasised that AI’s role in agriculture must be inclusive, ensuring that smallholder farmers, who form the backbone of Indian agriculture, are not left behind. The potential to deliver localised, low-cost, and mobile-accessible AI tools was identified as a key factor in ensuring widespread adoption. The session explored how farmer cooperatives, agri-tech start-ups, and government agencies can collaborate to extend the reach of AI technologies to remote rural areas.
Another major theme was AI’s capacity to enhance climate resilience. Speakers outlined how predictive climate models, integrated with AI, can guide crop diversification, adaptive planting schedules, and water resource management, enabling communities to better withstand the challenges of changing weather patterns. By integrating AI insights with sustainable farming practices, India can progress toward a more resilient and equitable agricultural system.
The session concluded with a call for a coordinated national effort to strengthen AI research in agriculture, foster public–private partnerships, and establish open-access, high-quality agricultural datasets. The participants agreed that strategic investments in AI infrastructure, combined with farmer-centric training and support, would be critical in achieving the vision of a tech-enabled, sustainable, and prosperous agricultural sector.
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