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CGIAR AI Hub: Turning agricultural science into AI products
CGIAR’s AI Hub transforms decades of cutting-edge agricultural research into practical AI products, placing them directly in the hands of smallholder farmers, policymakers, and researchers.
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From farm risk to value chain resilience: Food system benefits of agricultural insurance
The global landscape of agricultural risk has been changing dramatically. More frequent and intense climate and economic shocks have become the norm. Over the past 30 years, disasters have caused an estimated $3.8 trillion in crop and livestock losses, or about 5% of global GDP per year (FAO, 2023).
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Beyond the model: Evaluating AI agricultural advisory systems so they work in the field
Agricultural advisory services are increasingly adopting generative AI (gen AI) systems, including tools based on large language models (LLMs) such as chatbots, to provide farmers with tailored information on everything from how to manage pests to changes in commodity prices.
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Clearinghouse connects CGIAR to AfDB investments
Now formally moved into CGIAR through Scaling for Impact, the Technologies for African Agricultural Transformation (TAAT) Clearinghouse is linking US$1.5 billion in African Development Bank-backed investment to science-backed innovations in Nigeria, Ethiopia, and Democratic Republic of the Congo.
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Co-Creating Evidence for Kenya’s Agri-Food Transformation: Launching the CGIAR Policy Innovations Hub
On February 24, 2026, the CGIAR Policy Innovations Hub for Kenya launched in Nairobi with a collaborative working dialogue where policymakers and research partners committed to establishing structured contact points, identifying critical evidence priorities, and aligning future analytical work with formal government planning timelines.