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Methodological innovation











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    Book (stand-alone)
    Technical report
    Accelerating Innovative Monitoring for Forests (AIM4Forests)
    Mid-term review report
    2025
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    The mid-term review (MTR) report of the Accelerating Innovative Monitoring for Forests (AIM4Forests) programme was conducted at the request of the AIM4Forests steering committee and in line with the United Kingdom AIM4Forests business case. The main purpose was to provide an independent assessment of the programme’s progress and likelihood of achieving the set goals and make recommendations to enhance programme performance and address strategic issues concerning the programme scope. The MTR focused on the programme from its start in mid-2023 until December 2024 covering programme activities and results at all levels. The Food and Agriculture Organization of the United Nations (FAO) and the United Kingdom of Great Britain and Northern Ireland have launched AIM4Forests, a five-year programme to support forest monitoring based on modern monitoring technologies and technical innovation, as well as the use of space data and remote sensing. The programme is all about leveraging technical innovation to create data and information to inform the right courses of action to reduce deforestation and restore forests. AIM4Forests will leverage everything that technology and innovation offers such as artificial intelligence and machine learning. In addition, it will also make sure that the capacity is transferred to countries, including Indigenous Peoples, and local communities who manage the forests – only that way can we see real change.
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    Book (stand-alone)
    Technical book
    Artificial intelligence for food safety
    A literature synthesis, real-world applications and regulatory frameworks
    2025
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    Artificial Intelligence (AI) is increasingly applied in food safety management, offering new capabilities in data analysis, predictive modelling, and risk-based decision-making. A review of the literature identifies three primary areas of application: scientific advice, inspection and border control, and operational activities of food safety competent authorities. Five country examples with the real-world use cases illustrate diverse uses of AI tools, including pathogen detection, import sampling prioritization, and language models for regulatory data processing. Regulatory frameworks, as well as voluntary governance, addressing AI in the public sector are emerging worldwide. National and international initiatives often highlight the importance of data governance, transparency, ethical considerations, and human oversight. Challenges such as biased data, explainability, and data governance gaps appear across different contexts, along with potential risks from deploying AI systems prematurely. Access to high-quality, interoperable data and collaboration among stakeholders can support effective integration of AI technologies. AI readiness often depends on understanding specific problems to be addressed, current capacities, and the quality of available data. Human oversight and continuous evaluation contribute to maintaining trust in AI systems. Collaborative efforts involving academia, the private sector, and international organizations help build shared knowledge and resources for AI development in food safety. Overall, AI presents opportunities to enhance resilience, efficiency, and responsiveness in food safety systems. Careful consideration of governance, data management, and multi-stakeholder cooperation can shape AI’s contribution to achieving sustainable and equitable outcomes in agrifood systems.
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    Book (stand-alone)
    Strategy / action plan / roadmap
    Digital Agriculture and AI Innovation Roadmap
    For the Global Agrifood Systems Transformation
    2025
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    The Digital agriculture and AI innovation roadmap crystallizes a shared vision: an agrifood future where innovation is inclusive, trusted, and relentlessly focused on impact. Developed through a multistakeholder dialogue, the roadmap translates the high-level ambition of more efficient, inclusive, resilient and sustainable agrifood systems (AFS) into a three-year action plan that moves the sector decisively beyond fragmented pilots towards an ecosystem that fosters collaboration, reuse, and contextual adaptation. This ecosystem, which met during the first dialogue, has already had the opportunity to develop its first collective asset: the AI governance toolkit, which defines the key criteria and principles for ensuring the success and good governance of digital agriculture and AI projects in the agrifood sector. Where the roadmap provides the blueprint for ecosystem creation and growth, the toolkit exemplifies the type of shared resource that the ecosystem will continue to generate. The roadmap’s architecture pools knowledge, infrastructure and funding across shared missions and use-case families, giving every actor the flexibility to tailor solutions to their local agroecological and cultural realities. The AI governance toolkit, in turn, shows how these collaborative structures translate into concrete guidance, embedding: accountability, equity, efficiency, security and data stewardship into project life cycles and supplying governments, funders and entrepreneurs with clear metrics for selecting, monitoring and scaling high-value initiatives. Together, they chart both the path, and the practical instruments needed to move from ambition to impact.This document is therefore both a roadmap and an open invitation. Governments can align digital agriculture strategies and crowd-in investment; innovators can access a ready community of practice to test, refine, and scale their solutions; researchers can channel their expertise towards the most pressing knowledge gaps, and funders, public and private alike can identify well-governed opportunities that deliver tangible social, economic, and environmental returns.The milestones ahead are clear: beta validation at the AI for Good Summit, formal endorsement at the Science and Innovation Forum, and the launch of a continuously updated knowledge base and project pipeline. Success will depend on sustained engagement, transparency, and the courage to iterate as new insights emerge. By joining forces under this roadmap, the global agrifood community can harness the power of digital technology to deliver not only higher productivity, but also greater resilience, equity, and climate security, ensuring that the promise of AI becomes a reality for every farmer, consumer, and ecosystem worldwide.

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    Book (stand-alone)
    Guideline
    Voluntary Guidelines to Support the Progressive Realization of the Right to Adequate Food in the Context of National Food Security
    Adopted by the 127th session of the FAO Council, 22-27 November 2004
    2005
    The objective of the Voluntary Guidelines is to provide practical guidance to States in their implementation of the progressive realization of the right to adequate food in the context of national food security, in order to achieve the goals of the World Food Summit Plan of Action. They provide an additional instrument to combat hunger and poverty and to accelerate attainment of the Millennium Development Goals. The Voluntary Guid elines represent the first attempt by governments to interpret an economic, social and cultural right and to recommend actions to be undertaken for its realization. Moreover, they represent a step towards integrating human rights into the work of agencies dealing with food and agriculture.
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    Book (stand-alone)
    High-profile
    FAO Migration Framework – Migration as a choice and an opportunity for rural development 2019
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    The FAO Migration Framework guides the Organization in carrying out its work on migration at global, regional and country levels. It aims to ensure greater coordination between technical units and decentralized offices, and strengthen coherence and synergies across the Organization. It presents FAO definition, vision and mission on migration and spells out the rational for FAO engagement in this area. It presents what FAO does on migration, identifying the four main thematic areas of work along the migration cycle. Finally, it describes how FAO works on migration along its core functions.
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    Book (stand-alone)
    Guideline
    Voluntary Guidelines on the Responsible Governance of Tenure of Land, Fisheries and Forests in the Context of National Food Security 2012
    The guidelines are the first comprehensive, global instrument on tenure and its administration to be prepared through intergovernmental negotiations. The guidelines set out principles and internationally accepted standards of responsible practices for the use and control of land, fisheries and forests. They provide guidance for improving the policy, legal and organizational frameworks that regulate tenure rights; for enhancing the transparency and administration of tenure systems; and for strengthening the capacities and operations of public bodies, private sector enterprises, civil society organizations and people concerned with tenure and its governance. The guidelines place the governance of tenure within the context of national food security, and are intended to contribute to the progressive realization of the right to adequate food, poverty eradication, environmental protection and sustainable social and economic development.