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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. -
DocumentStructured Review and Expert Opinions on Early Warning and Rapid Alert System Applicable to Food Safety
Technical report, 26 September 2013
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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? -
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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