Appearance is a very important sensory quality attribute of fruits and vegetables, which can
influence not only their market value, consumer's preferences and choice but also their …

Introducing machine vision-based automation to the agricultural sector is essential to meet
the food demand of a rapidly growing population. Furthermore, extensive labor and time are …

Anthracnose is one of the primary diseases that affect olive production before and after
harvest, causing severe damage and economic losses. The objective of this work is to detect …

Data analysis has become a fundamental task in analytical chemistry due to the great
quantity of analytical information provided by modern analytical instruments. Supervised …

Learning techniques have been applied increasingly for food quality evaluation using
computer vision in recent years. This paper reviews recent advances in learning techniques …

A computer vision system was implemented to identify the ripening stages of bananas based
on color, development of brown spots, and image texture information. Nine simple features …

This paper reviews the techniques available for image feature extraction and their
applications in the food industry up to now according to the four major kinds of image …

The presence of skin defects is one of the most influential factors in the price of fruit. The
detection of defects during packing operations ensures that only fruits with a good quality …

Due to the high sorting speed required during fruit inspection and classification in packing
lines, most of the current automatic systems, based on machine vision, normally employ …

Artificial neural networks (ANNs) have been applied in almost every aspect of food science
over the past two decades, although most applications are in the development stage. ANNs …