Blog and Webinar Series: AI For Food Systems Research
This is a special series from the IFPRI-led initiative AI For Food Systems Research focusing on artificial intelligence (AI) in research practice. Amid the growing use of AI in agricultural research, policy, and extension, this project brings together researchers and practitioners across CGIAR and its partners to explore how AI tools can be designed, applied, and governed responsibly in food systems research and innovation. The series is led by Eliot Jones-Garcia, IFPRI Senior Research Analyst, and co-curated by Jessica Leight, IFPRI Senior Research Fellow, and Jona Repishti, Assistant Director, Global Gender, Digital Green.
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Latest Blogs
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Asking the right questions: A stakeholder dialogue on generative AI in digital extension
Balancing new technology with local needs.
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Grounding AI in practice: What extension gets wrong, what extension gets right, and what AI can learn
Exploring how emerging tools can help farmers.
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AI in qualitative research: Using large language models to code survey responses in native languages
Testing new tools that offer rapid analysis.
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The role of explainability in AI for agriculture: Making digital systems easier to understand for farmers
Centering user needs in precision livestock monitoring.








