Fast and non-invasive estimation of Meat Microbiological Quality
A new paper by a research group from the Agricultural University of Athens, Greece, and University of Hertfordshire, UK, shows that combining spectral image features from the VideometerLab, FTIR spectroscopy features, and machine learning methodology provides a rapid, non-invasive, and very promising technique for assessing the microbiological quality of minced pork meat.
Full text available.
Fengou, Lemonia & Mporas, Iosif & Spyrelli, Evgenia & Lianou, Alexandra & Nychas, George-John. (2020). Estimation of the Microbiological Quality of Meat using Rapid and Non-Invasive Spectroscopic Sensors. IEEE Access. PP. 1-1. 10.1109/ACCESS.2020.3000690.