Thumbnail Image

Global Forest Resources Assessment (FRA) 2020 Democratic People's Republic of Korea - Desk Study










Also available in:
No results found.

Related items

Showing items related by metadata.

Users also downloaded

Showing related downloaded files

  • Thumbnail Image
    Meeting
    Meeting document
    قائمة المندوبين والمراقبين 2017
    Also available in:
    No results found.

  • Thumbnail Image
    Article
    Journal 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 (series)
    Technical report
    Report of the Third Meeting of the Parties to the Agreement on Port State Measures to Prevent, Deter and Eliminate Illegal, Unreported and Unregulated Fishing
    Brussels, 31 May − 4 June 2021 (Virtual meeting)
    2021
    The Parties discussed the results of the questionnaire for the review and assessment of the effectiveness of the PSMA, agreeing that the questionnaire was a useful tool, whilst noting the need for further improvements. The Parties tasked the FAO to review the questionnaire, and agreed that the questionnaire would be completed every four years. Parties noted that whilst progress has been made in effectively using the PSMA to combat IUU fishing, a number of challenges remain. Parties welcomed the useful information provided by Regional Fishery Bodies (RFBs) related to progress made in the implementation of the PSMA, and agreed that a standardized questionnaire for RFBs is needed. Parties tasked FAO to develop a first draft of this questionnaire. The Parties welcomed the prototype of the global information exchange system (GIES) and agreed that it should enter a pilot phase. They also reiterated the importance of the availability of information related to the national contact points for the PSMA. The Parties expressed the importance of receiving support on the implementation of effective monitoring, control and surveillance, enforcement and the implementation of GIES. The Secretariat announced the launch of the Global Capacity Development Portal. The Parties requested that discussions around developing a strategy to improve the effectiveness of the PSMA be deferred to an ad hoc working group, and approved the terms of reference of the PSMA Strategy Ad Hoc Working Group.