Project description
Fighting food label fraud with advanced analytics, machine learning and AI
EU food quality policy aims to protect the names of specific products to promote their unique characteristics linked to their geographical origin as well as traditional know-how. However, the misuse and counterfeiting of the geographical indication label on products remains a major issue for EU food producers and consumers. In this context, the EU-funded THEROS project will tackle this type of food fraud by implementing a new integrated toolbox that can verify organic and geographical food labels. Specifically, it will come up with low-cost, digital and scalable solutions that rely on Earth Observation, photonics, Internet of Things and DNA authenticity methods, coupled with advanced analytics, machine learning and AI. The toolbox will be tested in four countries covering diverse requirements.
Fields of science
- social sciencessociologygovernance
- natural sciencescomputer and information sciencesinternet
- natural sciencescomputer and information sciencescomputer securitycryptography
- social scienceseconomics and businessbusiness and managementbusiness models
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
106 82 Athina
Greece
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Participants (16)
546 36 Thessaloniki
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1000 Ljubljana
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57001 Thermi Thessaloniki
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28050 Madrid
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1000 Ljubljana
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2322 Nicosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
117 45 Athena
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
784 01 Litovel
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11145 Athina
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24000 Subotica
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46021 Valencia
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14451 Athens
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27300 Gastouni
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36600 Vilagarcia
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21000 Novi Sad
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342 01 Susice
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