Checking the quality of fruits and vegetables has been a vital role nowadays due to
inflammation, transportation damage and many more scenarios, analyzing the quality of …

This study employed the YOLOv5s algorithm to establish a rapid quality identification model
for Pacific chub mackerel (S. japonicus) and Spanish mackerel (S. niphonius). Data …

Deep Learning (DL) has emerged as a highly effective technique for analyzing large
volumes of data across various domains, including image processing, speech recognition …

Red meat is one of the most popular varieties of meat in the eastern part of India.
Consumption of prolonged accumulated or spoiled meat results in many fatal diseases …

In a fast-changing world, tradition must adapt with technology. In many industries today,
quality control is a method that should be consistent and reliable. One of the industries that …

In this paper, deep feature extraction, feature concatenation and support vector machine
(SVM) classifier are used for efficient classification of food images. Classification of foods …

Fish remains popular among the body's most essential nutrients, as it contains protein and
polyunsaturated fatty acids. It is extremely important to choose the fish consumption …

Fish is regarded as an important protein source in human nutrition due to its high
concentration of omega-3 fatty acids In traditional global cuisine, fish holds a prominent …

Nowadays, image processing is widely used as one of the quality control techniques applied
in the food and neutral industrial sectors. One of the problem domains deep learning excels …

Food image classification, an interesting subdomain of Computer Vision (CV) technology,
focuses on the automatic classification of food items represented through images. This …