Project description
Recipe for protecting consumers from field to fork includes data
Food safety is a top priority in Europe. Data mining, aggregation and analytics are essential to address scientific, economic and societal challenges associated with food safety. The EU-funded EFRA project will develop and test solutions to discover food risk data from heterogeneous and dispersed/scarce data sources with minimal delay and appropriate format. It will also design relevant human aspects and interactions with users to measure usefulness for human risk prevention actions in real-world use-cases. By integrating big data, IoT and AI, it is possible to foster links to food data innovator communities. To achieve these goals, EFRA will design, test, and deploy tools and undertake appropriate initiatives to facilitate their uptake, elicit feedback, and engage stakeholders.
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- social scienceseconomics and businessbusiness and managementinnovation management
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesdata sciencedata mining
- engineering and technologyother engineering and technologiesfood technologyfood safety
Programme(s)
Funding Scheme
RIA - Research and Innovation action
Coordinator
15126 Marousi
Greece
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Participants (7)
00185 Roma
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10691 Stockholm
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6708 PB Wageningen
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31056 Treviso
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10000 Zagreb
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
54352 Thessaloniki
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
040212 Bucharest
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Partners (1)
BT635QE Craigavon
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