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Agricultural authorities and international research organizations (including IRRI and CIP) convened a specialized workshop in Can Tho City to assess pathways for scaling precision nutrient management in the Mekong Delta. The event focused on addressing technological bottlenecks, introducing digital readiness tools, and fostering a synchronized "Four Pillars" collaboration to transition the Vietnamese rice industry toward a climate-resilient future.

In southern Senegal, in the department of Goudomp, the market garden of the GIE Malouthiandi in Anice has become a concrete symbol of women’s resilience. This transformation is part of the AVENIR project, funded by Global Affairs Canada and implemented by MEDA in collaboration with the Alliance of Bioversity International and CIAT. The rehabilitation of the fence, the establishment of a living melliferous hedge, and the reconnection of irrigation basins have strengthened site security and water management. In a country where agriculture accounts for about 17 percent of GDP and where women make up nearly 40 percent of the agricultural labor force in Sub-Saharan Africa the daily work of the women in Anice shows that appropriate infrastructure combined with structured technical support can sustainably transform household food security and economic autonomy.

A new CGIAR-supported paper argues that agroecology can move beyond pilots when knowledge, finance, policy and service systems work together.

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.

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).

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.