Non-destructive testing techniques have gained importance in monitoring food quality over
the years. Hyperspectral imaging is one of the important non-destructive quality testing …

Food quality and safety are strongly related to human health. Food quality varies with variety
and geographical origin, and food fraud is becoming a threat to domestic and global …

In recent years, the food industry has shown a growing interest in the development of rapid
and nondestructive analytical methods. However, the utilization of a solitary nondestructive …

Honey from different botanical and geographical origins differ significantly in their market
value due to their quality, flavor or health benefits. However, the high value of honey and …

Background Food safety is an important public health issue, and deep learning (DL)
algorithms can provide powerful tools and methods for food safety and authenticity …

Rapid nondestructive determination of the moisture content of tea leaves is the basis of
intelligent control in tea processing. Visible and near infrared (Vis/NIR) spectroscopy can …

The authentication and traceability of food attract more attention due to the increasing
consumer awareness regarding nutrition and health, being a new hotspot of food science …

This paper develops a new approach to fraud detection in honey. Specifically, we examine
adulterating honey with sugar and use hyperspectral imaging and machine learning …

The rapid and efficient selection of qualified haploid maize kernels plays an important role in
maize breeding. However, considering the rarity of haploid maize kernels, usually only a …

Honey has been growing as a trade commodity that has a significant impact on the
economy. Development of honey quality assessment methods is vital to protect consumers …