Search the repository
Search tip: Use quotation marks around exact phrase
Trending publications
-
Book (stand-alone)Global Forest Resources Assessment 2025 2025FAO completed its first assessment of the world’s forest resources in 1948. Since then, the Global Forest Resources Assessment (FRA) has evolved into a comprehensive evaluation of forest resources and their condition, management and uses, covering all the thematic elements of sustainable forest management. This, the latest of these assessments, examines the status of, and trends in, forest resources over the period 1990–2025, drawing on the efforts of hundreds of experts worldwide. The results of FRA 2025 are available in several formats, including this report, an interactive story on key findings and an online database at https://fra-data.fao.org.
-
Book (series)The State of Food Security and Nutrition in the World 2025
Addressing high food price inflation for food security and nutrition
2025While some progress and recovery have been made in recent years, the world is still above pre-COVID-19 pandemic levels and far from eradicating hunger and food insecurity by 2030 (SDG Target 2.1). Similarly, despite some progress in the global nutrition targets, the world is not on track to achieve SDG Target 2.2. Among other factors, persistent food price inflation has slowed this momentum.The State of Food Security and Nutrition in the World 2025 highlights how elevated inflation in many countries has undermined purchasing power and, especially among low-income populations, access to healthy diets. The report documents how high food price inflation is associated with increases in food insecurity and child malnutrition. Vulnerable groups, including low-income households, women, and rural communities, can be particularly affected by food price inflation, risking setbacks in the fight against hunger and malnutrition.In response to these challenges and to prevent future price shocks, the report examines policy measures adopted by countries, and outlines what is necessary going forwards. It stresses the importance of coherent implementation of fiscal and monetary policies to stabilize markets, promote open and resilient trade, and protect vulnerable populations. Additionally, it calls for better data systems and sustained investment in resilient agrifood systems to build long-term food security and nutrition. These coordinated actions are vital to reignite progress towards ending hunger and malnutrition by 2030. -
No Thumbnail Available
-
No Thumbnail Available
-
Book (stand-alone)Artificial intelligence for food safety
A literature synthesis, real-world applications and regulatory frameworks
2025Also available in:
No results found.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.
Recently added
-
Book (series)Environmental inhibitors in agrifood systems
Considerations for food safety risk assessment
2025Also available in:
No results found.Transforming agrifood systems is key to meeting the growing global food demand while reducing agriculture’s environmental impact. Environmental inhibitors can help reduce methane emissions from farming sectors like livestock and rice cultivation, and the loss of nitrogen from farmlands. While not yet in widespread use, methanogenesis inhibitors, nitrification inhibitors and urease inhibitors, are being explored for their capacity to both increase nitrogen use efficiency and reduce the impact of agriculture on climate change.Although various environmental inhibitors are currently in development, with some already in use across markets, potential food safety risks from residues in food products have not always been fully addressed. This publication proposes a food safety risk assessment process for environmental inhibitors addressing potential residue uptake and transfer into crops intended for human consumption and foods of animal origin. -
Book (stand-alone)Manuel de l’élaboration des équations allométriques des arbres des principales espèces forestières de la Tunisie 2025
Also available in:
No results found.Ce guide sur l’élaboration d’équations allométriques de biomasse est spécifiquement conçu pour les cadres de la Direction générale des forêts tunisiennes, qu’ils soient techniciens, ingénieurs ou chercheurs œuvrant dans l’évaluation des ressources forestières, notamment le volume, la biomasse et les stocks de carbone. Toutefois, il est également destiné à tous les utilisateurs, qu’ils soient techniciens, chercheurs ou étudiants travaillant dans l’évaluation des ressources forestières. Ces informations sont couramment utilisées à des fins commerciales, de bioénergie ou de lutte contre les changements climatiques. Les méthodes exposées dans ce rapport sont adaptées aux forêts tunisiennes ainsi qu’à des zones écologiques similaires, mais elles peuvent également être appliquées dans d’autres contextes. Ce rapport est divisé en quatre parties: saisie et nettoyage des données, échantillonnage et stratification, exploration graphique et statistique des données, et développement des équations allométriques. Il aborde divers aspects liés à la construction d’équations allométriques, depuis la collecte d’échantillons sur le terrain jusqu’à l’analyse des données, en passant par l’exploration graphique des données, le calibrage des modèles et leur utilisation pour les prévisions. -
Book (stand-alone)Sampling techniques for hard-to-reach populations
Literature review
2025Also available in:
No results found.Representative data collection is fundamental to social science research and evidence-based policy development, yet standard survey methodologies struggle to adequately capture hard-to-reach (HTR) populations essential to understanding social inequality and economic vulnerability. This literature review synthesizes current knowledge on sampling strategies designed for HTR populations, including mobile or migrant workers, and geographically isolated communities. The review examines prominent sampling methodologies developed for HTR contexts, including non-probability approaches like snowball sampling and respondent-driven sampling (RDS), location-based probability methods such as time-location sampling (TLS), design-based innovations like adaptive cluster sampling (ACS), and indirect estimation techniques including capture-recapture and the network scale-up method (NSUM). The review emphasizes that ethical considerations are paramount, including informed consent challenges, confidentiality protection, and harm prevention. The review concludes that no single method is universally optimal; local context must shape methodological choice, and triangulation using multiple methods is strongly recommended to address inherent limitations and improve equity in research representation. -
Book (series)Theory of change 2025
Also available in:
No results found.This publication is the second of eight volumes composing the manual Guidance on Developing and Implementing Food Systems-Based Dietary Guidelines. It presents the methodology formulated by the Food and Agriculture Organization of the United Nations (FAO) for developing and implementing food systems-based dietary guidelines (FSBDGs).Grounded in a conceptual framework linking food systems to dietary and nutritional outcomes, FSBDGs address national nutrition priorities while promoting more sustainable, inclusive, and resilient food systems.This volume provides an in-depth exploration of the general theory of change that underpins the food systems-based dietary guidelines. -
Book (stand-alone)The International FAO Antimicrobial Resistance Monitoring (InFARM) System
Guide for reporting information on antimicrobial use in plants
2025Also available in:
No results found.InFARM, an FAO flagship initiative led by under the FAO's Animal Health and Production Division (NSA), provides tools, capacity building activities and a digital platform for collecting, visualizing and making use of antimicrobial resistance (AMR) data in animals and food. Last year marked the launch of the first open call for data. The FAO's Plant Production and Protection Division (NSP) leads the AMR in the plant sector.InFARM is extending its activities with the development of the questionnaire for the collection of data on antimicrobial use (AMU) in plants. This expansion is the result of coordinated efforts between NSP, and the One Health and AMR cluster under NSA (hosting the InFARM system coordination), recognizing the need to participate in global efforts for One Health integrated surveillance. InFARM is also bridging an important data gap by enabling data interoperability with other global systems (WHO-GLASS, collecting AMU and AMR data in humans, and WOAH-ANIMUSE, collecting AMU data in animals) and its future contribution to the upcoming Quadripartite system for integrated AMR/AMU surveillance (GISSA).The purpose of this publication is to support countries to use the new questionnaire on antimicrobial use in plants for reporting to InFARM. It covers why it is important to take part in this data collection and how to properly gather and report data to the InFARM IT platform.