Wavelength (variable) selection is considered as a means of solving the curse of
dimensionality, which is an important step in multivariate calibration of near-infrared spectra …

Because of the widespread use of nondestructive measurement techniques, such as
spectroscopy, spectral imaging, which allow scientists to swiftly obtain a complete spectrum …

Spectral analysis is an important method for characterizing and identifying chemical species.
However, quantitative spectral analysis of multiple chemical properties in the real world has …

Quality and safety of fresh fruits and vegetables are of the utmost importance to consumers,
retailers, and processors. Traditional methods of quality evaluation, such as mechanical or …

Introduction Maize kernel variety identification is crucial for reducing storage losses and
ensuring food security. Traditional single models show limitations in processing large-scale …

Variable (wavelength) selection is essential in the multivariate analysis of near-infrared
spectra to improve model performance and provide a more straightforward interpretation …

In this paper, a novel hybrid variable selection method for model building by near-infrared
(NIR) spectroscopy is proposed for composition measurement in industrial processes. A …

Abstract Rosmarinic acid (RA), Tanshinone IIA (Tan IIA), and Salvianolic acid B (Sal B) are
crucial compounds found in Salvia miltiorrhiza. Quickly predicting these components can aid …

Non-destructive determination of taste-related substances using near-infrared spectroscopy
(NIRS) is of great significance for effectively evaluating tea quality. In the present research …