Non-destructive testing techniques have gained importance in monitoring food quality over
the years. Hyperspectral imaging is one of the important non-destructive quality testing …

By integrating two classical optical sensing technologies of imaging and spectroscopy into
one system, hyperspectral imaging can provide both spatial and spectral information …

The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for
quality assessment of food products encouraged the development of non-destructive …

Hyperspectral imaging has attracted great attention as a non-destructive and fast method for
seed quality and safety assessment in recent years. The capability of this technique for …

Hyperspectral imaging is built with the aggregation of imaging, spectroscopy and
radiometric techniques. This technique observes the sample behaviour when it is exposed …

Seed quality is of great importance in optimizing the cost of crop establishment. Rapid and
non-destructive seed quality detection methods must therefore be developed for agriculture …

Recognizing and authenticating wheat varieties is critical for quality evaluation in the grain
supply chain, particularly for methods for seed inspection. Recognition and verification of …

Hyperspectral imaging has been acknowledged as an emerging technology for monitoring
quality parameters and improving grading of agricultural materials, such as field crops (eg …

It is very important to early detect abnormal brains, in order to save social and hospital
resources. The wavelet-energy was a successful feature descriptor that achieved excellent …

Highlights•Describing fundamental configuration and working principles of hyperspectral
systems.•The paper underscores the theoretical and practical issues of hyperspectral …