A holistic frameWork with Anticounterfeit and inTelligence-based technologieS that will assist food chain stakehOlders in rapidly identifying and preveNting the spread of fraudulent practices.
具有防伪和情报技术的整体框架,将帮助食品链利益相关者快速识别和防止欺诈行为的蔓延。
基本信息
- 批准号:10071171
- 负责人:
- 金额:$ 28.07万
- 依托单位:
- 依托单位国家:英国
- 项目类别:EU-Funded
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
WATSON provides a methodological framework combined with a set of tools and systemsthat can detect and prevent fraudulent activities throughout the whole food chain thus accelerating the deployment of transparency solutions in the EU food systems. The proposed framework will improve sustainability of food chains by increasing food safety and reducing food fraud through systemic innovations that a) increase transparency in food supply chains through improved track-and-trace mechanisms containing accurate, time-relevant and untampered information for the food product throughout its whole journey, b) equip authorities and policy makers with data, knowledge and insights in order to have the complete situational awareness of the food chain and c) raise the consumer awareness on food safety and value, leading to the adoption of healthier lifestyles and the development of sustainable food ecosystems. WATSON implements an intelligence-based risk calculation approach to address the phenomenon of food fraud in a holistic way. The project includes three distinct pillars, namely, a) the identification of data gaps in the food chain, b) the provision of methods, processes and tools to detect and counter food fraud and c) the effective cross border collaboration of public authorities through accurate and trustworthy information sharing. WATSON will rely upon emerging technologies (AI, IoT, DLT, etc.) enabling transparency within supply chains through the development of a rigorous, traceability regime, and novel tools for rapid, non-invasive, on-the-spot analysis of food products. The results will be demonstrated in 6 use cases: a) prevention of counterfeit alcoholic beverages, b) preservation of the authenticity of PGI honey, c) on-site authenticity check and traceability of olive oil, d) the identification of possible manipulations at all stages of the meat chain, e) the improved traceability of high-value products in cereal and dairy chain, f) combat of salmon counterfeiting
WATSON提供了一个方法框架,结合了一套工具和系统,可以在整个食品链中检测和防止欺诈活动,从而加速了欧盟食品系统透明度解决方案的部署。拟议的框架将通过系统性创新来提高食品安全和减少食品欺诈,从而提高食品链的可持续性:a)通过改进的跟踪和追踪机制来提高食品供应链的透明度,该机制包含食品在整个旅程中的准确、与时间相关且未被篡改的信息;b)为当局和政策制定者提供数据;知识和见解,以便对食物链有完整的态势感知和c)提高消费者对食品安全和价值的认识,从而采用更健康的生活方式和发展可持续的食品生态系统。沃森采用基于智能的风险计算方法,从整体上解决食品欺诈现象。该项目包括三个不同的支柱,即a)识别食品链中的数据缺口;b)提供检测和打击食品欺诈的方法、流程和工具;c)通过准确和可信的信息共享实现公共当局的有效跨境合作。沃森将依靠新兴技术(人工智能、物联网、分布式账本技术等),通过开发严格的可追溯性制度,以及对食品进行快速、无创、现场分析的新工具,实现供应链的透明度。结果将在6个用例中进行演示:a)防止假冒酒精饮料,b)保持PGI蜂蜜的真实性,c)橄榄油的现场真实性检查和可追溯性,d)识别肉类链所有阶段可能的操作,e)提高谷物和乳制品链中高价值产品的可追溯性,f)打击假冒鲑鱼
项目成果
期刊论文数量(0)
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
- 发表时间:
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- 影响因子:0
- 作者:
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
- DOI:
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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