
A methodological framework for the detection and prevention of fraudulent activities in the food chain
T
he WATSON 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 b) equip authorities and policy makers with data, knowledge and insights, and c) raise consumers awareness on food safety and value.
WATSON relies 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 pilots: 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.
