Palocci Caterina, Presser Karl, Kabza Agnieszka, Pucci Emilia, Zoani Claudia
Department of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, Italy.
Premotec GmbH, 8400 Winterthur, Switzerland.
Foods. 2022 Mar 29;11(7):989. doi: 10.3390/foods11070989.
In recent years, the digital revolution has involved the agrifood sector. However, the use of the most recent technologies is still limited due to poor data management. The integration, organisation and optimised use of smart data provides the basis for intelligent systems, services, solutions and applications for food chain management. With the purpose of integrating data on food quality, safety, traceability, transparency and authenticity, an EOSC-compatible (European Open Science Cloud) traceability search engine concept for data standardisation, interoperability, knowledge extraction, and data reuse, was developed within the framework of the FNS-Cloud project (GA No. 863059). For the developed model, three specific food supply chains were examined (olive oil, milk, and fishery products) in order to collect, integrate, organise and make available data relating to each step of each chain. For every step of each chain, parameters of interest and parameters of influence-related to nutritional quality, food safety, transparency and authenticity-were identified together with their monitoring systems. The developed model can be very useful for all actors involved in the food supply chain, both to have a quick graphical visualisation of the entire supply chain and for searching, finding and re-using available food data and information.
近年来，数字革命已涉及农业食品领域。然而，由于数据管理不善，最新技术的使用仍然有限。智能数据的整合、组织和优化使用为食物链管理的智能系统、服务、解决方案和应用提供了基础。为了整合有关食品质量、安全、可追溯性、透明度和真实性的数据，在FNS-Cloud项目（项目编号863059）的框架内，开发了一种与EOSC（欧洲开放科学云）兼容的可追溯性搜索引擎概念，用于数据标准化、互操作性、知识提取和数据重用。对于所开发的模型，研究了三条特定的食品供应链（橄榄油、牛奶和渔业产品），以便收集、整合、组织和提供与每条供应链各环节相关的数据。对于每条供应链的每个环节，确定了与营养质量、食品安全、透明度和真实性相关的感兴趣参数和影响参数及其监测系统。所开发的模型对食品供应链中的所有参与者可能非常有用，既可以快速直观地呈现整个供应链，又可以搜索、查找和重新利用现有的食品数据和信息。
