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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.

Descrizione del progetto

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Prevenire le frodi alimentari attraverso tecnologie digitali e basate sull’intelligenza

Il progetto WATSON, finanziato dall’UE, svilupperà una serie di strumenti e sistemi in grado di individuare e prevenire le pratiche fraudolente lungo l’intera filiera alimentare. Aumenterà la trasparenza attraverso il miglioramento dei meccanismi di tracciabilità e rintracciabilità che contengono informazioni accurate, temporalmente definite e non manomesse sul prodotto alimentare durante tutto il suo percorso. Il progetto sensibilizzerà inoltre i consumatori sulla sicurezza e sul valore degli alimenti, portando all’adozione di stili di vita più sani e allo sviluppo di ecosistemi alimentari sostenibili. In aggiunta, dimostrerà le soluzioni in sei diversi casi d’uso attraverso una serie di filiere alimentari chiave, che coprono importanti gruppi merceologici nel sistema alimentare europeo (ad esempio, vino, olio d’oliva, miele, carne, pesce, cereali e latticini).

Obiettivo

WATSON provides a methodological framework combined with a set 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 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.

Campo scientifico

Not validated

Programma(i)

Argomento(i)

Invito a presentare proposte

HORIZON-CL6-2022-FARM2FORK-01

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Meccanismo di finanziamento

HORIZON-RIA - HORIZON Research and Innovation Actions

Coordinatore

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Contribution nette de l'UE
€ 713 500,00
Indirizzo
BELFIELD
4 Dublin
Irlanda

Mostra sulla mappa
Regione
Ireland Eastern and Midland Dublin
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 713 500,00

Partecipanti (43)

Partner (5)

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Ultimo aggiornamento: 13 Ottobre 2022

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Permalink: https://cordis.europa.eu/project/id/101084265/it

European Union, 2024