Artificial intelligence (AI) involves the development of algorithms and computational models
that enable machines to process and analyze large amounts of data, identify patterns and …

The agri-food sector is an endless source of expansion for nourishing a vast population, but
there is a considerable need to develop high-standard procedures through intelligent and …

In recent years, the applications of graph convolutional networks (GCNs) in hyperspectral
image (HSI) classification have attracted much attention. However, hyperspectral …

Convolutional neural networks (CNNs) have been extensively applied to hyperspectral (HS)
image classification tasks and achieved promising performance. However, for CNN-based …

Globalization and interconnected supply chains have led to complex disruptions in global
value chains, caused by various factors such as natural disasters, climate events …

Food quality and safety are the essential hot issues of social concern. In recent years, there
has been a growing demand for real-time food information, and non-destructive testing is …

Feature selection (FS) is vital in hyperspectral image (HSI) classification, it is an NP-hard
problem, and Swarm Intelligence and Evolutionary Algorithms (SIEAs) have been proved …

Imaging spectroscopy integrates traditional computer vision and spectroscopy into a single
system and has gained widespread acceptance as a non-destructive scientific instrument for …

Food safety refers to preparing, transporting, and storing food to avoid foodborne sickness
and harm. From farm to factory and factory to fork, food items may meet various health …

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 …