Appendix 3: The stakeholders matrix Each has a unique role to play. By aligning these, it is possible to foster an environment in which AI technologies are developed, deployed and scaled to meet the needs of the agricultural sector. The interplay between stakeholders will create a dynamic ecosystem in which innovation, policy and application converge to transform agriculture through AI. TABLE 6 Stakeholder roles and value in AI integration for agriculture Stakeholder Role AI value sought Individual farmers Adopt AI-based solutions for productivity, sustainability and market accessEnhanced yields, better market access and reduced input costs Farmer producer organizations (FPOs)Aggregate demand, facilitate adoption of AI tools and provide market accessImproved incomes, collective bargaining power, data- driven decisions, efficient market linkages, increased transparency and optimized quality control Agriculture extension officersTrain farmers, deliver AI-enabled advice, monitor crop health and provide precision farming inputsIncreased effectiveness of advice, real-time insights and better yield predictions Village-level entrepreneurs (VLEs)Act as intermediaries for AI tools delivery, gather data and provide financial servicesEmpowered last-mile delivery, real-time feedback loops, enhanced data collection Common service centres (CSCs)Provide farmers with access to AI advice, digital finance and marketplace toolsFinancial inclusion, improved access to advisory and digital platforms Agri input companiesSupply AI-integrated seeds, fertilizers and machinery; predict demand using AI toolsPrecision input use, better forecasting and market expansion Start-ups and innovatorsDevelop platforms for AI-based advice, fintech, yield prediction and marketplacesScalable AI solutions, market leadership and profitability through innovation Tech providers Offer AI platforms, cloud infrastructure and data integration servicesInnovation, market expansion and efficiency through digital platforms Banks and fintech companiesProvide AI-driven credit scoring, loans and insurance productsImproved risk management, financial returns and increased access to financial markets Food companies Use AI to optimize supply chains, ensure product quality and predict demandEfficient logistics, enhanced product quality and demand fulfilment Government bodies Develop AI policies, provide infrastructure and financial support and promote adoptionFood security, improved farmer incomes and sustainable agricultural practices Universities and research centresConduct AI research, develop innovative models and train future technologistsKnowledge creation, academic reputation and impactful solutionsDeveloping and deploying AI-based applications in Indian agriculture hinges on the collaborative efforts of all stakeholders. Future Farming in India 44

Future Farming in India 2025