Thumbnail Image

Warning flyer against introduction of fruit flies










Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Brochure, flyer, fact-sheet
    World Soil Day, 5 December 2020 - Get involved flyer 2020
    Also available in:
    No results found.

    World Soil Day 2020 campaign
  • Thumbnail Image
    Book (stand-alone)
    FAO/WHO International Workshop on Fruits and Vegetables in preparation for the International Year of Fruits and Vegetables 2021
    Workshop report
    2021
    Also available in:

    In view of the upcoming International Year of Fruits and Vegetables (IYFV) to be observed in 2021, the Food and Agriculture Organization of the United Nations (FAO) and the World Health Organization (WHO) organized the FAO/WHO International Workshop on Fruits and Vegetables 2020. The aim was to review global evidence surrounding the effectiveness of interventions and the policy, programmatic and scientific advances in the decades since the Joint FAO/WHO Workshop on Fruit and Vegetables for Health (Kobe, Japan, 2004). The overall goal of the FAO/WHO International Workshop on Fruits and Vegetables 2020 was to develop evidence-based, actionable recommendations for future policies, laws, regulations and programmes aiming to improve F&V consumption, production and value chains.
  • 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.

Users also downloaded

Showing related downloaded files

No results found.