Last decade's advances and modern aspects of near infrared spectroscopy are critically
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …

With the advances in innovative instrumentation and various valuable applications, near-
infrared (NIR) spectroscopy has become a mature analytical technique in various fields …

With the increasing ease of measuring multiple variables per object the importance of
variable selection for data reduction and for improved interpretability is gaining importance …

Present climate and socioeconomic issues would threaten the global food and
environmental security. Smart farming (SF) based on advances in sensing, robotic, and …

This paper provides a practical guide to variable selection in chemometrics with a focus on
regression‐based calibration models. Several approaches, such as genetic algorithms …

Wavelength selection is a critical step for producing better prediction performance when
applied to spectral data. Considering the fact that the vibrational and rotational spectra have …

Variable (or wavelength) selection plays an important role in the quantitative analysis of
near-infrared (NIR) spectra. A modified method of uninformative variable elimination (UVE) …

Feature selection has been widely used in classification for improving classification
accuracy and reducing computational complexity. Recently, evolutionary computation (EC) …

Determining amylose content in rice with near infrared (NIR) spectroscopy, associated with a
suitable multivariate regression method, is both feasible and relevant for the rice business to …

Timely assessment of canopy nitrogen content (CNC) in crops is critical for growth diagnosis
and precision management of crops to generate higher yield and better quality while also …