Non-Destructive Assessment of Beef Freshness Using Visible and Near-Infrared Spectroscopy with Interpretable Machine Learning

Beef freshness is a critical indicator of meat quality and safety, and its rapid, non-destructive detection is of significant importance for ensuring consumer health and enhancing quality control throughout the meat industry chain. This study developed a novel methodology for non-destructive beef fr...

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Hlavní autoři:	Ruoxin Chen, Wei Ning, Xufen Xie, Jingran Bi, Gongliang Zhang, Hongman Hou
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-02-01
Edice:	Foods
Témata:	beef freshness Vis-NIR spectroscopy feature selection PSOGA SHAP
On-line přístup:	https://www.mdpi.com/2304-8158/15/4/728
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