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Book (stand-alone)Technical book全球根除小反刍兽疫计划（2017-2021年）
促进粮食安全、扶贫和增强适应能力
2018全球已就控制与根除小反刍兽疫工作达成共识。加大对根除小反刍兽疫运动的投入将会有力促进粮食安全，帮助世界最脆弱的牧区和农村的农牧民们减贫脱困。这也将直接惠及发生疫情国家成千上万牧民和饲养牲畜的小农，帮助他们维持生计。 -
Book (series)Manual / guide
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Book (series)Guideline动物尸体管理准则
中小型养殖场动物尸体及受污染物料的有效处置
2021动物疫情带来的诸多挑战能够对生计、粮食安全和环境产生重大影响。恰当处理疫情期间死亡或扑杀的动物尸体是成功应对疫情的关键措施之一，原因在于这样有助于预防病原进一步传播或缩小其范围，如为人畜共患病还能保护人类健康。 本文提出的实用准则提供了尸体和相关废弃物管理方面的考虑和建议程序。供兽医部门和其他官方应对部门在制定动物疫情控制和根除计划时适用。本文准则适用于不同规模的动物疫情，如零星散发和区域性流行，但关注重点是不具备工程填埋场、化制厂或受控焚化炉的国家的中小型农场。考虑到很多国家处理这一问题的人力和财力有限，准则以“简单可行”为编写原则。编写以上情况介绍和实用方法的目的是，确保准为各国紧急操作程序提供有益工具。此外，准则保护动物、人类和环境健康，对“同一个健康”方针具有直接贡献。
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DocumentOther documentGlobal Forest Resources Assessment (FRA) 2020 Democratic People's Republic of Korea - Desk Study 2020
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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.