Meat freshness degree is an important parameter while evaluating the quality and the price
of the meat. Traditional method needs too long time to evaluate the meat on line in the meat …

In recent years, food image recognition has been a research field that has received much
attention. Diet is an essential part of people's daily life. Through food image recognition and …

The classification of beef carcasses is a task performed by a human expert, where the
characteristics of a piece of meat are analyzed visually before being processed. The price …

This paper presents a novel deep learning based computer vision technique for
automatically monitoring the heat in cows by detecting the heat detector device such as …

Food supplying industry is one of the role models of development areas which had led to the
rise of human weal. The study of food is very challenging as it improves the quality of earthly …

Neural networks have been successfully applied as intelligent sensors for process modeling
and control. In this paper, the application of soft sensors in the cane sugar industry is …

Expert system can imitate the thought of human expert to consequence, and the system has
or is near the level of domain expert. Contraposing the shortage of the traditional expert …

An electronic nose (e-nose) was used to establish a freshness evaluation model for pork. A
pre-experiment was performed to acquire optimum parameters (10 g sample mass with 5 …

A detection system for recognizing the total number of bacteria in food was developed. The
system based on computer vision and artificial neural network technique can meet the need …

In order to shorten the production cycle of traditional fermented fish, cured fish was
fermented by Lactobacillus plantarum and Staphylococcus xylosus. Considering sensory …