Design and development of IoT and demerit score-based system to assess fresh fish quality

Abstract

FISHQCheQ, a non-destructive and cost-effective web-based software system has been designed and developed to assess the quality of fresh fish. The developed system works in online platform using internet of things (IoT) and enable consumers/ stakeholders for spot quality evaluation of fish in a real time manner. The system uses a demerit score on five general quality characteristics of fish viz, appearance of fish, fish eyes, gills, belly and vent, which were integrated using Hypertext Markup Language (HTML) and Cascading Style Sheets (CSS) to evaluate the quality of fish. A modified algorithm has been incorporated for computing the fish quality index using HTML and JavaScript. The user can assess the quality of fish based on five general and their sub-quality characteristics on a demerit scale score and the system automatically calculates the fish quality index score in the range of 0 to 1 with a quality description as output. The quality index score in the range of 0 to 1 represents excellent to worse quality of fish. The developed IoT-based system was validated with real time storage data of Indian oilsardine and tilapia.