Highlights•NIRS technology needs to step forward in official standard methods.•NIRS and
Chemometrics allow rapid, high-throughput analysis.•Methods based on NIRS and …

Routine, remote, and process analysis for foodstuffs is gaining attention and can provide
more confidence for the food supply chain. A new generation of rapid methods is emerging …

We demonstrate how to design and apply domain-specific modifications to convolutional
neural networks (CNNs) to improve model performance on hyperspectral images of grain …

Seafood authentication and traceability is a challenging issue owing to its complex supply
chain and fishing in international waters. NIR spectroscopy has been successfully used to …

Optimizing forage quality is vital for enhancing animal performance and supporting the
global animal production industry. Near-infrared (NIR) spectroscopy offers a rapid, non …

Owing to the inherent characteristics of ground beef, adulteration presents a substantial risk
for suppliers and consumers alike. This study developed a robust and novel method for …

The residual moisture content of black textiles finished with functional agents by
impregnation was monitored after drying by near-infrared (NIR) hyperspectral imaging …

Precision viticulture is increasingly being applied to automate and optimize grape
production in the vineyard. This paper describes the development of a method for automatic …

In this study, we assess the effectiveness of portable near-infrared (NIR) spectroscopy
coupled with advanced machine learning algorithms for on-site detection and quantification …

Combining near-infrared (NIR) and mid-infrared (MIR) spectroscopy to cover both the
fundamental and overtone combination molecular vibrational resonances allows more …