iFishCan

iFishCan is a joint work proposed by a consortium of partners of three EIT Knowledge and Innovation Communities (EIT Manufacturing, EIT Food and EIT Digital) that will address this issue by designing, implementing, validating and demonstrating a low-cost, flexible, transportable and scalable smart FLW monitoring system for the fish manufacturing industry. By applying machine learning techniques to food processing data and quality parameters as well as to environmental impact indicators the solution will generate prescriptive and predictive information about the most critical points of the chain in real time. This way, prompt corrective actions will be defined and implemented allowing to prevent or mitigate FLW and improve multiple environmental impact indicators (e.g., carbon and water footprint).