The spectral preprocessing method has become an integral component of soil analysis
through visible and near-infrared (Vis-NIR) spectroscopy. Various spectral pretreatment …

Estimating soil organic carbon (SOC) in topsoil can help improve soil quality and food
production. This study aimed to explore the potential of airborne hyperspectral image to …

Visible and near-infrared (VIS–NIR) spectroscopy has been extensively applied to estimate
soil organic matter (SOM) in the laboratory. However, if field/moist VIS–NIR spectra can be …

The maximum carboxylation rate (Vcmax) and the maximum electron transport rate (Jmax)
are representative parameters describing the gas exchange properties of leaves. Non …

Hyperspectral spectroscopy based on partial least squares regression (PLSR) is an effective
tool for monitoring plant photosynthesis. Despite their wide applications, the robustness of …

In this paper, fractional-order time delay system modeling is presented using Haar wavelet
operational matrix of integration. Therefore, it does not require any prior knowledge of …

Magnetic resonance imaging can reveal exquisite details about the complex structure and
function of human tissue. However, magnetic resonance imaging signal behaviour at high or …

Choosing appropriate multivariate calibration and preprocessing transformation techniques
is important in the determination of soil organic carbon (SOC) content based on visible and …

Heavy metal pollution in farmland harms the environment and poses a potential risk to
human health. Visible and near-infrared reflectance (VNIR) spectroscopy is a promising tool …

This book will appeal to both practitioners and researchers in both industrial and university
chemical, bio-pharmaceutical, and physical, analytical laboratories, and students …