Thumbnail Image

Structured Review and Expert Opinions on Early Warning and Rapid Alert System Applicable to Food Safety

Technical report, 26 September 2013









Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Article
    Making 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
    Also available in:
    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.
  • Thumbnail Image
    Book (stand-alone)
    Early warning tools and systems for emerging issues in food safety
    Technical background
    2023
    Also available in:
    No results found.

    Early warning (EW) systems have a critical role in the reduction of risks from various hazards. The capability and capacity to identify early signals and emerging food safety risks, and to provide on-time EW that would allow for the mitigation of related upcoming risks have therefore become vital for national and international authorities and organizations dealing with food safety. The developments in early warning systems show a shift from reactive towards proactive systems. With the rapid development of modern systems fed by numerous, real-time and diverse data, as well as the advancements achieved in artificial intelligence and machine learning techniques, increasingly tested and validated digital methods and models have become available for food safety early warning and analysis. This technical background report enhances the awareness of the available evidence-based innovative digital tools and provides technical background information to support their use for proactive food safety early warning.
  • Thumbnail Image
    Journal, magazine, bulletin
    FAO Quarterly Early Warning Bulletin for Food and Agriculture - No.16, July-September 2015 2015
    Also available in:
    No results found.

    The Quarterly Early Warning Bulletin for Food and Agriculture integrates information on food security and threats to the food chain for the three months ahead. It is a product of collaboration between the Emergency Prevention System (EMPRES) for transboundary animal and plant pests and diseases and food safety threats, the Global Information and Early Warning System (GIEWS), and the Intelligence and Coordination Unit of the Food Chain Crisis Management Framework (FCC). Data is provided by GIEWS and EMPRES.

Users also downloaded

Showing related downloaded files

No results found.