Abstract Machine learning (ML) and soft computing (SC) techniques have contributed
immensely towards improvisation of manufacturing, process and quality control, automation …

Infrared (IR) spectroscopy has greatly improved the ability to study biomedical samples
because IR spectroscopy measures how molecules interact with infrared light, providing a …

A hyperspectral imaging system covering two spectral ranges (380–1030 nm and 874–1734
nm) was applied to evaluate strawberry ripeness. The spectral data were extracted from …

Support vector machines (SVM) are learning algorithms that present good generalization
performance and can model complex non linear boundaries through the use of adapted …

Accurate quantification of dissolved oxygen (DO) is critically important for managing water
resources and controlling pollution. Artificial intelligence (AI) models have been successfully …

Rapid discrimination of roast green tea according to geographical origin is crucial to quality
control. Fourier transform near-infrared (FT-NIR) spectroscopy and supervised pattern …

The following investigations describe the potential of handheld NIR spectroscopy and
Raman imaging measurements for the identification and authentication of food products. On …

This paper reported the results of simultaneous analysis of main catechins (ie, EGC, EC,
EGCG and ECG) contents in green tea by the Fourier transform near infrared reflectance (FT …

Near-infrared (874–1734 nm) hyperspectral imaging (NIR-HSI) technique combined with
chemometric methods was used to trace origins of 1200 Chinese wolfberry samples, which …

This study was carried out to explore the potential of computer vision system (CVS) and two
hyperspectral imaging (HSI) systems covering the visible and short-wave near infrared …