Grasping, carrying and placing of objects are the fundamental capabilities and common
operations for robots and robotic manipulators. Grippers are the most essential components …

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 …

Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …

Deep learning has been proved to be an advanced technology for big data analysis with a
large number of successful cases in image processing, speech recognition, object detection …

Agriculture has always been an important economic and social sector for humans. Fruit
production is especially essential, with a great demand from all households. Therefore, the …

Intelligent robots for fruit harvesting have been actively developed over the past decades to
bridge the increasing gap between feeding a rapidly growing population and limited labour …

Highlights•Hyperspectral imaging is an effective tool for in assessing quality
parameters.•The most abundantly used wavelengths are 601–850 nm, used in over 50% of …

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 …

A deep-learning architecture based on Convolutional Neural Networks (CNN) and a cost-
effective computer vision module were used to detect defective apples on a four-line fruit …