In 2016, global per capita fish consumption hit 20kg for the first time. In 2019, the trend had not stopped and consumption reached 20.9kg, setting a new record. Read more
TRACOD (Model-based Tracking of Cod and Other Fish Value Chain for Consumer Confidence Boosting and Food Engineers Education) project officially started on January 1st, 2020.
The project has been funded by EIT Food and involves three partners: Tellspec, Technion and Matís.
The goal of the project is to apply model-based systems engineering (MBSE) and conceptual modeling in the food value chain and eventually develop a generic model-based platform for food value chain definition, maintenance, real-time query and decision support, and constant evolution.
Model-based systems engineering (MBSE) is a systems engineering methodology that focuses on creating and exploiting domain models as the primary means of information exchange, rather than on document-based information exchange.
The TRACOD project has therefore two purposes:
- model the function, structure, and behavior of the entire “farm-to-fork” food value chain, ultimately enabling real-time view of the physical objects and processes along the food chain at increasing levels of detail through their digital twins, as reported by sensors in key chain locations. Initially, fresh cod will be the case study.
- educate food engineers to use conceptual modeling using a MOOC – massive open online course.
Tellspec will enable real-time, transparent inspection of critical nutrion and condition parameters along the food chain through NIR sensors and a blockchain-based app that will provide information on fish nutrients and freshness.
The benefit of TRACOD is to transparently expose all the stakeholders in the food chain, from the fishermen ships and food engineers to the customers, to the sources and paths of the food they handle or ultimately consume, including its levels of macronutrients and freshness parameters, thereby boosting consumers’ confidence and raising their awareness to consuming healthy, balanced food.
Fish fraud is a global issue as roughly 20% of seafood worldwide is mislabelled. Wholesalers, retailers, restaurants, catering businesses and consumers deserve to know the facts about their fish supply chain, including what kind of fish it is, its nutritional profile, and how fresh it is.
Fish fraud can negatively impact consumer’s health; this occurs when fish species that are toxic are substituted for non-toxic species. It can also affect the nutritional quality of the fish, as it can happen when species from polluted waters are substituted for marine fish. It damages the integrity of the fish supply chain and consumer trust. Furthermore, fish fraud it can result in severe economic consequences by tarnishing the national reputation of a country in the global food market.
Through funding received from EIT, Tellspec now contributes to a solution of the above mentioned fraudulent practices by offering a new real-time, reliable, portable, affordable and friendly-to-use monitoring system.
The FishQC and Fraud system is composed of an NIR spectroscopic sensor and a fish analysis engine based on AI algorithms running in the cloud.
The AI algorithms are trained using scans of samples for which laboratory data was also obtained, and when given a scan of a new sample, they intelligently predict what a laboratory would report for that sample.
The Tellspec’s system allows to measure in real-time:
- The actual species of the fish
- Whether the fish is wild or farmed
- Whether the fish is fresh or defrosted
- Fish quality (fat, protein, moisture)
- Fish spoilage (days of decay)
Learn more here.
The project is a collaboration between the five below which spread between United Kingdom (coordinating country), Spain and Italy: Tellspec, AZTI (Tecnalia), Queen’s University Belfast, Microbion and Waitrose
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READ MORE FROM ORIGINAL POST
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Tellspec to participate on mHealth Grand Tour for cyclists with Type 1 and 2 diabetes, along with Orange Healthcare and Samsung, 3 and 12 of September 2015