A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Integration of handheld NIR and machine learning to "Measure & Monitor" chicken meat authenticity
2020
Food Control
1 By combining portable, handheld near-infrared (NIR) spectroscopy with state-of-the-2 art classification algorithms, we developed a powerful method to test chicken meat 3 authenticity. The research presented shows that it is both possible to discriminate fresh from 4 thawed meat, based on NIR spectra, as well as to correctly classify chicken fillets according to 5 the growth conditions of the chickens with good accuracy. In all cases, the random subspace 6 discriminant ensemble (RSDE) method
doi:10.1016/j.foodcont.2020.107149
fatcat:2t5jvf6nbvf5neoynz3qhaifyi