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 …

Near-infrared (NIR) spectroscopy as a low-cost technique with its non-destructive fast
nature, precision, control, accuracy, repeatability, and reproducibility has been extensively …

Recent deep learning methods for fruits classification resulted in promising performance.
However, these methods are with heavy-weight architectures in nature, and hence require a …

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 …

Three data fusion strategies (low-llevel, mid-llevel, and high-llevel) combined with a
multivariate classification algorithm (random forest, RF) were applied to authenticate the …

Miniaturized NIR instruments have been increasingly used in the last years, and they have
become useful tools for many applications on a broad variety of samples. This review …

Quick population increase and the desire for urbanization are the main drivers for
accelerating urban expansion on agricultural lands in Egypt. This issue is obvious in …

Abstract Machine learning models were developed to predict the degree of rancidity of beef
by a non-destructive method using a near infrared hyperspectral image acquisition system …

Wine is the final result of a long process of physical, chemical and biological
transformations, previously determined by several interrelated backgrounds. Every step of its …

The high impact of irrigation in crop quality and yield in grapevine makes the development of
plant water status monitoring systems an essential issue in the context of sustainable …