Harvest is IFAD’s internal AI portal with IFAD-specific modules for core operations. Harvest brings custom AI solutions to IFAD for the IFAD context, designed and developed with subject matter experts across the organization. Harvest modules, powered by AI and related technologies, combine advanced tools into simple, intuitive, and user-friendly interfaces that address specific workflows. Current modules include:
● SECAP-Scan: Analyse the SECAP Compliance of an IFAD project design
● Mainstreaming-Scan: Analyse the Mainstreaming Themes of a Project Design Report (PDR)
● Quality-Scan: Assess the quality of project design documents
● Youth-Scan: Extract and assess Youth-specific insights from project reports
● Restructure-Scan: Analyse project restructuring requests of an IFAD project
● Insta-PR: Generate a draft of a President's Report and export it to the official Word template
● Insta-FA: Generate a draft of a Financing Agreement and export it to the official Word template
● Content-Edit: Polish content for an Intranet post before publication
● File-Chat: Upload, review, and analyse collections of PDF and Word files with ease
● Insta-Compare: Compare the contents of two different documents and obtain a summary of the main differences and similarities
● Insta-Points: Generate clear, concise, and customised Talking Points from a collection of PDF documents
● Insta-FAQs: Generate clear, concise, and customised FAQs from a collection of documents
The Global Initiative on AI for Food Systems, 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
Canopy is IFAD’s internal AI portal with data dashboards for augmented analytics projects. With AI and data combined, deeper insights are surfaced on IFAD's portfolio across thematic areas and in collections of documents related to IFAD's work. Canopy AI brings AI-generated data to IFAD for the IFAD context, with methodological approaches designed and developed with subject matter experts across the organization. Current dashboards include:
● Retrospective Analysis of Fragile Situations in the IFAD Portfolio
● Analysis of National Pathways from the UN Food Systems Coordination Hub
● Land Tenure Stocktake of IFAD Projects
● NDC-PDB Coherence Analysis
AI-Powered Farmer Advisory and Knowledge Delivery through Farmer.Chat under LIFE-ND
This activity leverages the AI-powered platform Farmer.Chat to provide real-time, localized, and context-specific agricultural advisory services to smallholder farmers under the LIFE-ND project in Nigeria. The solution utilizes artificial intelligence to bridge knowledge gaps by delivering tailored advisory on climate-smart agriculture, crop management, pest control, and agribusiness practices.
Through integration with digital extension systems, Farmer.Chat enables farmers to interact with an AI assistant via mobile applications and messaging channels, receiving instant responses. The system enhances traditional extension services by scaling access to expert knowledge, particularly in underserved and remote communities.
The initiative also supports climate resilience by embedding digital climate advisory services, enabling farmers to make data-driven decisions based on weather forecasts and predictive insights. The expected impact includes increased productivity, reduced vulnerability to climate risks, improved farmer incomes, and strengthened digital inclusion across rural agricultural ecosystems.