Meat products are particularly plagued by safety problems because of their complicated
structure, various production processes and complex supply chains. Rapid and non-invasive …

Yellow rust is a worldwide disease that poses a serious threat to the safety of wheat
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …

Given that traditional methods of meat quality analysis are time-consuming, destructive, and
poorly suited for the rapid quality evaluation of production lines, the development of non …

The potential of two different hyperspectral imaging systems (visible near infrared
spectroscopy (Vis-NIR) and NIR) was investigated to determine TVB-N contents in tilapia …

The detection of meat texture is of great value because it is the key factor that drives
consumer purchasing decisions. In this study, a hyperspectral imaging (HSI) system was …

In this study, two-dimensional correlation spectroscopy (2D-COS) of near-infrared
hyperspectral images combined with convolutional neural networks (CNN) was developed …

In this research, the hyperspectral imaging technique was employed to realize the rapid and
accurate detection of the reducing sugar and amino acid nitrogen contents of Daqu during …

The antioxidant enzymes play the crucial role in inhibiting mutton spoilage. In this study,
visible near-infrared (Vis-NIR) hyperspectral imaging (HSI) combined with entropy weight …

Fermentation is a key process that affects the quality of black tea. In this study, we discussed
the changes and influencing factors of key endoplasmic components at different positions of …

Tea grade evaluation plays an important role in detecting the quality of tea. In this work, we
proposed a method for black tea grade discrimination, which is based on the hyperspectral …