Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …

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 …

Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …

Abstract Each year, 1.3 billion tons of food is lost due to spoilage or loss in the supply chain,
accounting for approximately one third of global food production. This requires a …

Meat adulteration, mainly for the purpose of economic pursuit, is widespread and leads to
serious public health risks, religious violations, and moral loss. Rapid, effective, accurate …

Background The development of fast, efficient, accurate, and reliable techniques and
methods for food authenticity identification is crucial for food quality assurance. Traditional …

Abstract Pericarpium Citri Reticulatae (PCR) in longer storage years possess higher
medicinal values, but their differentiation is difficult due to similar morphological …

In the meat industry, ensuring product authenticity is important due to its impact on human
diet, processing chain as well as for ensuring fair trade practices. This study aims at …

Food Adulteration is a deceptive act of misleading food buyers for economic gain. It has
been a major concern due to its risk to public health, reduction of food quality or nutritional …

Animal origin food products, including fish and seafood, meat and poultry, milk and dairy
foods, and other related products play significant roles in human nutrition. However, fraud in …