Digital Agriculture and AI Innovation Roadmap For the Global Agrifood Systems Transformation

The Digital agriculture and AI innovation roadmap crystallizes a shared vision: an agrifood future where innovation is inclusive, trusted, and relentlessly focused on impact. Developed through a multistakeholder dialogue, the roadmap translates the high-level ambition of more efficient, inclusive, resilient and sustainable agrifood systems (AFS) into a three-year action plan that moves the sector decisively beyond fragmented pilots towards an ecosystem that fosters collaboration, reuse, and contextual adaptation. This ecosystem, which met during the first dialogue, has already had the opportunity to develop its first collective asset: the AI governance toolkit, which defines the key criteria and principles for ensuring the success and good governance of digital agriculture and AI projects in the agrifood sector. Where the roadmap provides the blueprint for ecosystem creation and growth, the toolkit exemplifies the type of shared resource that the ecosystem will continue to generate. The roadmap’s architecture pools knowledge, infrastructure and funding across shared missions and use-case families, giving every actor the flexibility to tailor solutions to their local agroecological and cultural realities. The AI governance toolkit, in turn, shows how these collaborative structures translate into concrete guidance, embedding: accountability, equity, efficiency, security and data stewardship into project life cycles and supplying governments, funders and entrepreneurs with clear metrics for selecting, monitoring and scaling high-value initiatives. Together, they chart both the path, and the practical instruments needed to move from ambition to impact.This document is therefore both a roadmap and an open invitation. Governments can align digital agriculture strategies and crowd-in investment; innovators can access a ready community of practice to test, refine, and scale their solutions; researchers can channel their expertise towards the most pressing knowledge gaps, and funders, public and private alike can identify well-governed opportunities that deliver tangible social, economic, and environmental returns.The milestones ahead are clear: beta validation at the AI for Good Summit, formal endorsement at the Science and Innovation Forum, and the launch of a continuously updated knowledge base and project pipeline. Success will depend on sustained engagement, transparency, and the courage to iterate as new insights emerge. By joining forces under this roadmap, the global agrifood community can harness the power of digital technology to deliver not only higher productivity, but also greater resilience, equity, and climate security, ensuring that the promise of AI becomes a reality for every farmer, consumer, and ecosystem worldwide.