FAO

Food and Agriculture Organization

26
Activities on AI
47
Countries

About FAO

The Food and Agriculture Organization (FAO) is a specialized agency of the United Nations that leads international efforts to defeat hunger. Our goal is to achieve food security for all and make sure that people have regular access to enough high-quality food to lead active, healthy lives. With over 194 member states, FAO works in over 130 countries worldwide. We believe that everyone can play a part in ending hunger.

Activities by FAO

FAO
WaPOR (Water Productivity through Open access of Remotely sensed derived data)
Africa, Asia and the Pacific, Arab States, Latin America and the Caribbean AlgeriaColombiaEgyptEthiopiaIraqJordanKenyaMaliMozambiquePakistanSudanTunisia

A portal to monitor Water Productivity through Open-access of Remotely sensed derived data. It assists countries in monitoring water productivity, identifying gaps, and proposing solutions to increase agricultural production sustainably. The WaPOR data is now global.

Activity Type AI Tools/SolutionsResearch/Reports/Assessments
FAO
GEO-AI Challenge of 2024
Africa, Asia and the Pacific, Europe and the Commonwealth of Independent States SpainKenyaViet NamAfghanistanIranSudan

A challenge organized in collaboration with ITU to address plastic mulch pollution. Participants were tasked with developing AI solutions to map the extent of plastic-mulched fields using satellite imagery, with three teams awarded prizes for their solutions.

Activity Type Research/Reports/AssessmentsAwareness/Advocacy
FAO
FAO Data Lab
Global

The Data Lab leverages advanced AI and data science to generate timely insights for evidence-based decision-making in agri-food systems. It uses natural language processing, machine learning, and geospatial analytics to synthesize information from diverse sources, including unstructured documents and satellite imagery.

Activity Type Research/Reports/Assessments, Technical assistance, AI Tools/Solutions
FAO
Animal Feed Balance calculation
Global

This project aims to use Large Language Models (LLM) and advanced ML techniques to assist farmers in creating the best mix proportions for animal feed based on available ingredients, helping to improve milk production levels and quality.

Activity Type AI Tools/Solutions, Technical assistance