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Evaluation of Salmon, Tuna, and Beef Freshness Using a Portable Spectrometer
2020
Sensors
There has been strong demand for the development of an accurate but simple method to assess the freshness of food. In this study, we demonstrated a system to determine food freshness by analyzing the spectral response from a portable visible/near-infrared (VIS/NIR) spectrometer using the Convolutional Neural Network (CNN)-based machine learning algorithm. Spectral response data from salmon, tuna, and beef incubated at 25 °C were obtained every minute for 30 h and then categorized into three
doi:10.3390/s20154299
pmid:32752216
fatcat:ksalcyyyebg2hkzu54heuubixe