Over the past two decades, hyperspectral imaging has become popular for non-destructive
assessment of food quality, safety, and crop monitoring. Imaging delivers spatial information …

Rapid and accurate detection of pesticide residue levels can help to prevent the harm of
pesticide residue. This study used visible/near-infrared (Vis-NIR)(376–1044 nm) and near …

Rice is the main staple food for more than half of the world's population. Consumption of
long-stored rice will have adverse effects on the human body. Here, we proposed the near …

Seed quality affects crop yield and the quality of agricultural products, and traditional
identification methods are time-consuming, complex, and irreversibly destructive. This study …

Verticillium wilt (VW) represents the most formidable challenge in cotton cultivation, critically
impairing both fiber yield and quality. Conventional resistance assessment techniques …

Maize (Zea mays) is one of the key crops in the world, taking third place after wheat and rice
in terms of cultivated area. This study aimed to demonstrate the potential of non-destructive …

This study proposes a recognition model for different drying methods of grain using
hyperspectral imaging technology (HSI) and multivariate analysis. Fresh harvested grain …

Sometimes it is difficult, or even impossible, to acquire real data from sensors and machines
that must be used in research. Such examples are the modern industrial platforms that …

Improper drying processes or poor storage conditions negatively affect the storage period
and quality of wolfberries and consequently affect their long-term utilization. As a result, to …

Hyperspectral imaging can simultaneously acquire spectral and spatial information of the
samples and is, therefore, widely applied in the non-destructive detection of grain quality …