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 …

Last decade's advances and modern aspects of near infrared spectroscopy are critically
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …

Image sensors with internal computing capability enable in-sensor computing that can
significantly reduce the communication latency and power consumption for machine vision …

In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …

With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …

Recent advancements and major breakthroughs in machine learning (ML) technologies in
the past decade have made it possible to collect, analyze, and interpret an unprecedented …

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

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 …

Background Quality of pre-processed food grains is a critical aspect and a major decider of
market acceptability, storage stability, processing quality, and overall consumer acceptance …

Chilling injury, as a physiological disorder in cucumbers, occurs after the fruit has been
subjected to low temperatures. It is thus desirable to detect chilling injury at early stages …