AI-powered chatbot boosts livestock disease management
In an effort to digitalize livestock research and knowledge dissemination, ILRI has developed a new AI-powered chatbot that provides instant, evidence-based answers to animal health questions.
In an effort to digitalize livestock research and knowledge dissemination, ILRI has developed a new AI-powered chatbot that provides instant, evidence-based answers to animal health questions.
Launched in January 2025 as a DTA-linked project, Fairgrounds aims to be the gateway for CGIAR to access global research data, while also opening CGIAR’s research data to the world.
The AI Agriculture Ecosystem Launch in Abu Dhabi showcased new AI technologies that strengthen farmers' resilience.
IWMI and CGIAR’s DTA hosted a consultation workshop in Colombo, Sri Lanka, bringing together the AI Champions from 11 CGIAR centers to take the next steps in integrating AI responsibly and effectively across food, land and water systems.
In an effort to build a more connected and intelligent global agricultural research ecosystem, CGIAR convened a Data Harmonization Workshop from June 17–20, 2025, at CIMMYT headquarters in Texcoco, Mexico. The primary goal of the workshop was to develop a practical framework for making data across all CGIAR Centers FAIR—Findable, Accessible, Interoperable, and Reusable. This effort is driven by increased
AgriLLM is a pioneering initiative that harnesses the power of large language models (LLMs) to accelerate digital transformation in agriculture. By integrating artificial intelligence with agricultural expertise. AgriLLM aims to empower farmers, extension agents, researchers, and policymakers with context-aware, multilingual, and user-friendly tools. As part of this journey, DTA and IRRI organized two writeshops: a virtual session on 25 April
The first AGX Unconference, a dynamic, participant-driven event, convened in Nairobi during 23-24 July 2025. Hosted at ILRI Nairobi, the gathering brought together a diverse group of stakeholders – from small-scale farmers to fintech developers, researchers, cooperative leaders, and policymakers – all driven by one shared goal: making agriculture more efficient through Artificial Intelligence (AI) and Digital Public Infrastructure (DPI).