Imagine a digital passport for your food that proves it is actually what the label says. It uses smart sensors and digital ledgers to track a product from the farm to your plate, making it impossible for scammers to swap expensive honey or olive oil for cheap fakes. It's like having a high-tech security guard watching every single hand-off in the delivery chain.
Food fraud puts consumer trust and public health at risk while causing financial losses for honest producers. Current supply chains lack the transparency needed to quickly identify and stop fraudulent practices.
A set of tools and systems using AI, IoT, and Distributed Ledger Technology for track-and-trace and non-invasive on-the-spot food analysis.
If you are a wine producer dealing with counterfeit bottles of your premium vintage — this project developed tools that prevent counterfeit alcoholic beverages. This ensures your brand reputation remains intact and protects your high-value revenue streams.
If you are an olive oil mill dealing with purity concerns and fraudulent blending — this project developed on-site authenticity checks and traceability for extra virgin olive oil. This allows you to prove the origin and quality of your oil instantly.
If you are a logistics provider dealing with manipulations in the meat chain — this project developed a system to identify changes at all stages of the meat chain. This reduces the risk of liability and improves safety for the end consumer.
Based on available project data, specific pricing or cost structures for the tools are not provided.
The project is testing its tools across 6 different pilots covering cereals, dairy, meat, fish, honey, and wine, suggesting a design intended for wide industrial application.
Based on available project data, there is no specific information regarding IP ownership or licensing agreements.
It equips policy makers and authorities with data and knowledge to improve situational awareness and combat fraud across borders.
The project period runs from 2023-03-01 to 2026-02-28, indicating the tools are currently in the development and testing phase.
The project features a massive, multidisciplinary group of 49 partners from 20 countries. With 16 industry partners (including 15 SMEs), the consortium has a 33% industry ratio, ensuring that the technical tools developed by the 7 universities and 12 research centers are grounded in commercial reality and operational needs.
Contact University College Dublin, National University of Ireland
Contact us to connect with the WATSON consortium for pilot integration.
