WATSON - 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
Auf einen Blick
Lebensmittelchemie
Ernährungswissenschaften
Informationssysteme, Prozess- und Wissensmanagement
Agrarökonomie, Agrarpolitik, Agrarsoziologie
Agrar-, Forstwissenschaften und Tiermedizin
Horizon Europe: Research and Innovation Action (RIA)
Projektbeschreibung
WATSON provides a methodological framework combined with aset of tools and systems that 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 implementsan 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.
Kooperationspartner*innen
- KooperationspartnerAußeruniversitäre ForschungseinrichtungSpanien
ASOCIACION INVESTIGACION INDUSTRIAS CARNICAS PRINCIPADO DE ASTURIAS
- KooperationspartnerDeutschland
Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit (LGL)
- KooperationspartnerAußeruniversitäre ForschungseinrichtungGriechenland
Centre for Research & Technology - Hellas
- KooperationspartnerItalien
Consiglio Nazionale delle Ricerche
- KooperationspartnerNorwegen
Fiskeridirektoratet (Norwegian Directorate of Fisheries)
- KooperationspartnerAußeruniversitäre ForschungseinrichtungSchweiz
Forschungsinstitut für Biologischen Landbau
- KooperationspartnerAußeruniversitäre ForschungseinrichtungPortugal
INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência
- KooperationspartnerAußeruniversitäre ForschungseinrichtungFrankreich
Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE)
- KooperationspartnerAußeruniversitäre ForschungseinrichtungDeutschland
Max Rubner-Institut (MRI) Bundesforschungsinstitut für Ernährung und Lebensmittel
- KooperationspartnerUniversitätGriechenland
Nationale Technische Universität Athen (NTUA)
- KooperationspartnerAußeruniversitäre ForschungseinrichtungNorwegen
SINTEF Nord AS
- KooperationspartnerAußeruniversitäre ForschungseinrichtungFinnland
Teknologian tutkimuskeskus
- KooperationspartnerAußeruniversitäre ForschungseinrichtungUngarn
Ungarisches Amt für Lebensmittelsicherheit
- KooperationspartnerUniversitätIrland
University College Dublin
- KooperationspartnerUniversitätDeutschland
Universität Bayreuth