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ArticleJournal articleMaking food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools 2024
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No results found.To enhance the resilience of food systems to food safety risks, it is vitally important for national authorities and international organizations to be able to identify early signals of emerging food safety risks and to provide early warning in a timely manner. This review provides an overview of existing and experimental applications of artificial intelligence (AI), big data, and internet of things tools and methods as part of early warning and emerging risk identification in the food safety domain. There is an ongoing rapid development of systems fed by numerous, real-time, and diverse data with the aim of early warning and identification of emerging food safety risks. The suitability of big data and AI to support such systems is illustrated by two cases in which climate change drives the emergence of risks, namely, harmful algal blooms affecting seafood and fungal growth and mycotoxin formation in crops. Automation and machine learning are crucial for the development of future real-time food safety risk early warning systems. Although these developments and tools increase the feasibility and effectiveness of prospective early warning and emerging risk identification, their implementation may prove challenging, particularly for low- and middle-income countries due to low connectivity and data availability. It is advocated to overcome these challenges by improving the capability and capacity of national authorities, as well as by enhancing their collaboration with the private sector and international organizations. -
DocumentOther documentStructured Review and Expert Opinions on Early Warning and Rapid Alert System Applicable to Food Safety
Technical report, 26 September 2013
2014Also available in:
No results found.This technical report is an abridged version of the full report that documents the results of the project ‘Structured Review and Expert Opinions on Early Warning and Rapid Alert Systems Applicable to Food Safety’ carried out by the Center for Coastal Health (CCH) in collaboration with the EMPRES Food Safety Unit. The broad review question for the project was as follows: What is the current state of knowledge on EWRA (early warning and rapid alert) systems in terms of networks, programs and initi atives, databases, and data sources for identifying, notifying and sharing information on food safety events? -
DocumentOther documentEMPRES Food Safety - Emergency Prevention System for Food Safety
Strategic Plan
2010An estimated three million people around the world, in developed and developing countries, die every year from food and water-borne disease, with millions more becoming sick. Occurrence of such disease can easily escalate to a food safety emergency situation, which can adversely impact national economies and livelihoods through reduced availability of food for national consumption, closure of export markets, and/or the high cost of addressing the effects of the threat.
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BookletCorporate general interestEmissions due to agriculture
Global, regional and country trends 2000–2018
2021Also available in:
No results found.The FAOSTAT emissions database is composed of several data domains covering the categories of the IPCC Agriculture, Forestry and Other Land Use (AFOLU) sector of the national GHG inventory. Energy use in agriculture is additionally included as relevant to emissions from agriculture as an economic production sector under the ISIC A statistical classification, though recognizing that, in terms of IPCC, they are instead part of the Energy sector of the national GHG inventory. FAO emissions estimates are available over the period 1961–2018 for agriculture production processes from crop and livestock activities. Land use emissions and removals are generally available only for the period 1990–2019. This analytical brief focuses on overall trends over the period 2000–2018. -
BookletHigh-profileFAO Strategy on Climate Change 2022–2031 2022The FAO Strategy on Climate Change 2022–2031 was endorsed by FAO Council in June 2022. This new strategy replaces the previous strategy from 2017 to better FAO's climate action with the Strategic Framework 2022-2031, and other FAO strategies that have been developed since then. The Strategy was elaborated following an inclusive process of consultation with FAO Members, FAO staff from headquarters and decentralized offices, as well as external partners. It articulates FAO's vision for agrifood systems by 2050, around three main pillars of action: at global and regional level, at country level, and at local level. The Strategy also encourages key guiding principles for action, such as science and innovation, inclusiveness, partnerships, and access to finance.
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Brochure, flyer, fact-sheetBrochureFAO's Early Warning - Early Action System 2016
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No results found.The challenge of triggering early actions in response to early warnings has received renewed focus in the past few years. Humanitarian and development partners have better understood the need – and the way – to take action before a crisis has escalated into an emergency. And it’s indeed a wise investment: stepping in early to take action reduces both disaster losses and the costs of emergency response.