5 November 2026 | 15:00-15:45 CET

How can AI help turn agricultural data into action?
AI is rapidly transforming agrifood systems, offering new opportunities to strengthen food security, improve nutrition, and support rural development. However, donors and development partners face challenges in translating this potential into practice, including ensuring responsible data governance, addressing inequalities in access, and identifying effective entry points for investment and collaboration.
This second webinar in the Platform’s artificial intelligence (AI) knowledge exchange series explores how AI, remote sensing and local expertise can strengthen agricultural monitoring, anticipate shocks and support timely decision-making.
Using the emerging RAAPID (Rapid Agricultural Assessment for Program Impact and Design) initiative as a practical case study, speakers will examine opportunities and challenges in translating satellite-derived insights into operational responses.
The discussion will highlight country experiences, lessons learned, and opportunities for donor engagement in scaling AI-enabled agricultural monitoring for food security and climate resilience.
| Provisional Agenda | |
|---|---|
| 15:00 - 15:05 | Welcome and Scene-Setting |
| 15:05 - 15:25 | Challenges in agricultural monitoring and why this matters RAAPID: Approach and lessons learned Implications for donors |
| 15:25 – 15:40 | Interactive Q&A with audience |
| 15:40 – 15:45 | Closing, key takeaways and next steps |
The webinar aims to:
- Explore how AI and remote sensing can strengthen agricultural monitoring and decision-making
- Highlight recent country experiences and lessons learned through RAAPID’s approach
- Explain the barriers to translating remote sensing insights into operational decision-making
- Identify opportunities for donor engagement, including governance, financing, and network expansion
Participants will gain:
- A clear understanding of how RAAPID can complement existing public and private investments in food security and climate resilience
- Insights into enabling conditions for operationalizing effective AI-enabled agricultural monitoring
- Practical ideas for supporting RAAPID’s global network development
- Opportunities for collaboration through the Platform’s AI and Data workstream



























































































































































































































































