The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …

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 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 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 …

In recent years, hyperspectral imaging has gained a wide recognition as a non-destructive
and fast quality and safety analysis and assessment method for a wide range of food …

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 …

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

The presence of impurities in food grains greatly impact their grades and quality as well as
their overall acceptance. Additionally, bulk grains storage is subject to deterioration and …