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 …

Quality evaluation in the food industry presents a significant challenge due to the necessity
for high-cost equipment and extensive analysis to ensure that products reaching consumers …

Background Rapid and non-destructive infrared spectroscopy has been applied to both
internal and external quality evaluations of food and agro-products. Various linear and …

Increasing meat demand in terms of both quality and quantity in conjunction with feeding a
growing population has resulted in regulatory agencies imposing stringent guidelines on …

Background Food adulteration has emerged as a significant challenge in the food industry,
impacting consumer health and trust in the market. Utilizing machine learning especially …

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 …

With consumer concerns increasing over food quality and safety, the food industry has
begun to pay much more attention to the development of rapid and reliable food-evaluation …

Abstract Machine learning (ML) has proven to be a useful technology for data analysis and
modeling in a wide variety of domains, including food science and engineering. The use of …

In recent years, the variety and volume of data acquired by modern analytical instruments in
order to conduct a better authentication of food has dramatically increased. Several pattern …

With the continuous development of economy and the change in consumption concept, the
demand for meat, a nutritious food, has been dramatically increasing. Meat quality is tightly …