Image processing techniques have been applied increasingly for food quality evaluation in
recent years. This paper reviews recent advances in image processing techniques for food …

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

The Kingdom of Saudi Arabia is the world's largest producer of date fruit. It produces almost
400 date varieties in bulk. During the harvesting season the date grading and sorting pose …

Background The application of classsification methods through multivariate and machine
learning techniques has enormous significance in agricultural sector. It is vital to classify …

Over the last decades, parallel to technological development, there has been a great
increase in the use of visual inspection systems. These systems have been widely …

The purity of waxy corn seed is a very important index of seed quality. A novel procedure for
the classification of corn seed varieties was developed based on the combined spectral …

Differentiation of wheat classes is one of the important challenges to the Canadian grain
industry. Even though some wheat classes may look similar, their chemical composition and …

Algorithms were written to extract a total of 230 features (51 morphological, 123 colour, and
56 textural) from the high-resolution images of kernels of five grain types [barley, Canada …

Visible–near‐infrared spectroscopy is known for its rapid and nondestructive characteristics
designed to predict leaf chlorophyll content (LCC) of winter wheat. It is believed that the …

Images of non-touching kernels of Canada Western Red Spring (CWRS) wheat, Canada
Western Amber Durum (CWAD) wheat, barley, oats, and rye were acquired using an area …