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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.

Descripción del proyecto

DEENESFRITPL

Prevenir el fraude alimentario con tecnologías digitales e inteligentes

En el proyecto WATSON, financiado con fondos europeos, se desarrollará un conjunto de herramientas que puedan detectar y prevenir prácticas fraudulentas en toda la cadena agroalimentaria. Se aumentará la transparencia a través de mecanismos mejorados de seguimiento y localización que contienen información precisa, pertinente en el tiempo y no adulterada del producto alimenticio a lo largo de todo su recorrido. El proyecto también concienciará a los consumidores sobre la seguridad y el valor de los alimentos, lo que conllevará la adopción de modos de vida más saludables y el desarrollo de ecosistemas alimentarios sostenibles. Además, se demostrarán las innovaciones con seis casos de uso diferentes en una serie de cadenas de suministro de alimentos clave, que abarcan importantes grupos de productos básicos del sistema alimentario europeo (por ejemplo, vino, aceite de oliva, miel, carne, pescado, cereales y productos lácteos).

Objetivo

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.

Ámbito científico

Palabras clave

Programa(s)

Tema(s)

Convocatoria de propuestas

HORIZON-CL6-2022-FARM2FORK-01

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Régimen de financiación

HORIZON-RIA - HORIZON Research and Innovation Actions

Coordinador

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Aportación neta de la UEn
€ 700 000,00
Dirección
BELFIELD
4 Dublin
Irlanda

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Región
Ireland Eastern and Midland Dublin
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
€ 700 000,00

Participantes (40)

Socios (4)

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Última actualización: 13 Octubre 2022

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

European Union, 2024