The deliver stream ensures that the benefits of AI reach the last mile – securely, efficiently and inclusively. The AI industry, start-up community and the last-mile delivery ecosystem are the principal stakeholders in this activity. It is service delivery with a difference. The special value envisaged through the IMPACT AI Model is outlined below.Deliver Pillar 3 DeliverExtension workers FarmersEmpower extension workers Equip with an AI marketplace gateway Raise awareness Launch feedback loopsDeliver pillar of the IMPACT AI framework FIGURE 15 Empower front-line extension systems Working at the back end, AI empowers front-line workers to be more productive and effective in their interactions with the end beneficiaries of programmes and services. Enhancing AI capacity among 200,000 agricultural extension officers40 supporting 700,000 villages is essential and pivotal to integrate AI solutions into broader agricultural best practices. Additionally, platforms such as Kisan call centres41 and the VISTAAR42 portal serve as vital touchpoints for farmers seeking advice. Integrating AI into these platforms can enhance the quality and timeliness of information provided, enabling farmers to make data-driven decisions. Deploy an AI marketplace gateway Integrating agriculture data platforms (such as Agri- Stack and ADeX) with digital e-commerce platforms such as the Open Network for Digital Commerce (ONDC)43 can offer an AI marketplace gateway and streamline access to AI services for farmers. This platform can provide extension systems and farmers with trusted access to a variety of AI services and use cases, including fintech solutions, insurance products, advice, pest-detection tools, yield-prediction models and price forecasts. By offering a single point of access, it simplifies the user experience and encourages adoption. Establish robust feedback loops Incorporating feedback loops is crucial for the continuous improvement of AI solutions. Recognizing that AI requires a phygital (physical and digital) approach, it is important to combine digital tools with on-the-ground interventions. Collecting georeferenced crop images after AI advisory implementation allows for the refinement of AI models based on real-world outcomes. This data will help in validating the effectiveness of AI recommendations and adjusting algorithms to local conditions. Raise awareness at the grassroots Transforming initiatives such as the Agri-Clinics and Agri-Business Centres (ACABC)44 scheme with AI enablement can further empower agripreneurs to offer advanced services to farmers. Incorporating AI technologies into their operations will enhance advisory services, diagnostics and precision farming techniques. This stream ensures the benefits of AI reach all stakeholders. 34 Future Farming in India

Future Farming in India A Playbook for Scaling Artificial Intelligence in Agriculture 2025