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 …

Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …

Imaging spectrometers measure electromagnetic energy scattered in their instantaneous
field view in hundreds or thousands of spectral channels with higher spectral resolution than …

Diseases in plants cause major production and economic losses in agricultural industry
worldwide. Monitoring of health and detection of diseases in plants and trees is critical for …

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

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

Hyperspectral imaging which combines imaging and spectroscopic technology is rapidly
gaining ground as a non-destructive, real-time detection tool for food quality and safety …

Hyperspectral imaging (HSI) combines spectroscopy and imaging, providing information
about the chemical properties of a material and their spatial distribution. It represents an …

The quality and safety of food is an increasing concern for worldwide business. Non-
destructive methods (NDM), as a means of assessment and instrumentation have created an …