Multimodal diagnostic models
Models that use images and data to detect crop diseases and pests.
Overview
Advancing AI-powered digital advisory solutions for smallholder farmers
The Institute of Agriculture and Artificial Intelligence (IAAI) – launched in collaboration with the International Affairs Office at the UAE Presidential Court and the Gates Foundation is a pioneering digital advisory hub for agriculture that offers digital advisory tools, training programs, and technical assistance teams to governments, NGOs and partner organizations. The institute is dedicated to strengthening global food security, by improving the lives and livelihoods of over 43 million smallholder farmers.
The IAAI brings together global partners to build the foundational datasets and AI capabilities needed to transform frontier AI research into localized, field-ready digital advisory services – delivering timely and accurate insights into crops, soil and weather, as well as market guidance.
Through education programs and training missions, the institute helps governments, NGOs, and innovators build and deploy scalable, evidence-based, advisory tools that meet the local needs of smallholder farmers in Africa, Asia and beyond.
Our priorities
Through the creation of a comprehensive agricultural data corpus covering key crops, regions, and countries, we are creating a central, trusted repository of high-quality agricultural data to train AI models safely and effectively.
The institute’s core research programs will develop deployable research outputs aligned to country demands and use cases.
Through the IAAI Academy, we are training 200+ experts from ministries, NGOs, and partner organizations to support operation of AI-powered advisory systems.
We are supporting country-level pilots with dedicated technical assistance missions.
Research programs
Voice-based advisory systems
Systems that speak local languages and adapt to farmers’ literacy levels.
Location and time aware large language models
Large language models that incorporate real-time data and region-specific knowledge.
Partner with us
Together, we have the opportunity to strengthen global food security.
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Data owners
Partner to contribute and govern agricultural data responsibly.
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Researchers
Co-design and lead demand-driven AI research projects.
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Governments
Co-create national pilots and deployment programs.
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Funders
Co-invest to scale proven models across countries.