About IFAD
At the International Fund for Agricultural Development (IFAD) we invest in rural people, empowering them to increase their food security, improve the nutrition of their families and increase their incomes. We help them build resilience, expand their businesses and take charge of their own development.Activities by IFAD
Agpreneur
Africa NigeriaAgpreneur is an all-in-one Agri-fintech Platform providing tailored financing, dynamic education, predictive input demands, and optimized market interactions for African farmers.
Activity Type AI Tools/SolutionsSustainability Action Plan Repository and Chatbot
Global Not Applicable
IFAD’s Sustainability Action Plan aims to provide operational and technical actions to strengthen IFAD’s performance related to sustainability of benefits at the project level through an approach that commonly supports IFAD’s portfolio. Due to the diversity of IFAD projects and the numerous factors that may impact project sustainability, the action plan does not aim to address each one individually, but focuses on providing the necessary building blocks to support widespread knowledge, behaviors, and capacity to improve project sustainability. As interventions to enhance sustainability of project benefits are context specific, a key output of the action plan is an AI-enhanced repository on Sustainability. The repository offers a rich, interactive, and visual interface for country teams to explore IFAD’s resources on sustainability of benefits. Users are able to extract information from curated publications on sustainability, according to the criteria and dimensions detailed in the action plan. The repository allows country teams to develop a tailored approach to increasing sustainability and developing sound exit strategies for better ownership in a wide variety of contexts.
The repository consists of how-to-do notes, analysis, and useful resources developed by IFAD, as well as tools and guidance from external sources. These resources are processed with text-centric AI and automation tools that extract key concepts and generate focused summaries and data visualizations. The repository is also connected to a Generative AI (GenAI) chatbot interface, which allows users to ask any questions about sustainability. The chatbot searches through the repository contents and provides a referenced answer to the question using Large Language Models (LLMs). This solution is implemented as a Retrieval Augmented Generation (RAG) search engine with a natural language interface
Thematic Portfolio Stocktake on Fisheries & Aquaculture
Global Not ApplicableSmall-scale fisheries and aquaculture are crucial to inclusive and sustainable rural transformation, contributing to better nutrition and livelihoods while conserving natural environments. IFAD-supported projects provide access to finance, value chains, and market infrastructure to poor fishing communities, enabling them to earn more from high-quality sustainably caught or farmed fish. To support stocktaking efforts related to cataloguing Fisheries & Aquaculture projects across the IFAD portfolio, AI technologies were used to analyze IFAD project documents for information on relevant activities and target groups. By designing prompts with clear definitions, taxonomies, conditions, and objectives, Large Language Models (LLMs) deployed within a scalable AI system classified the contents of IFAD project documents to determine relevance to Fisheries & Aquaculture, allowing for a more systematic, comprehensive, reliable, and accurate assessment of this thematic area across the IFAD portfolio.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsGlobal Initiative on AI for Food Systems
Global GermanyIndiaThe Global Initiative on AI for Food Systems initiative, is a collaborative global effort led by the International Telecommunication Union (ITU) together with the Food and Agriculture Organization (FAO), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), and other partners to harness the transformative potential of artificial intelligence (AI) and digital technologies across the entire food value chain. It aims to boost agricultural productivity, strengthen food security, and build resilient, sustainable food systems by embedding AI into areas such as precision agriculture, supply chain optimization, and real-time decision support while addressing climate and resource challenges. A central objective is to establish common frameworks, shared digital infrastructure and standards that ensure interoperability, security, and adaptability of AI applications, enabling governments, innovators and smallholder farmers, who produce a significant portion of global food but often lack connectivity and support—to benefit from AI innovation at scale. The initiative supports knowledge exchange, synergistic partnerships, and proof-of-concept deployments to demonstrate scalable, responsible, and inclusive AI solutions that contribute to global food system resilience.
Activity Type AI Tools/SolutionsTrainings/WorkshopsTechnical AssistanceResearch/Reports/AssessmentsPolicy/Regulatory GuidanceAwareness/AdvocacyNetworks/Mentorship/Exchange