Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy
The spectral preprocessing method has become an integral component of soil analysis
through visible and near-infrared (Vis-NIR) spectroscopy. Various spectral pretreatment …
through visible and near-infrared (Vis-NIR) spectroscopy. Various spectral pretreatment …
Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination …
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 …
production. This study aimed to explore the potential of airborne hyperspectral image to …
Combining fractional order derivative and spectral variable selection for organic matter estimation of homogeneous soil samples by VIS–NIR spectroscopy
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 …
soil organic matter (SOM) in the laboratory. However, if field/moist VIS–NIR spectra can be …
Estimation of leaf photosynthetic capacity parameters using spectral indices developed from fractional-order derivatives
G Song, Q Wang, J Jin - Computers and Electronics in Agriculture, 2023 - Elsevier
The maximum carboxylation rate (Vcmax) and the maximum electron transport rate (Jmax)
are representative parameters describing the gas exchange properties of leaves. Non …
are representative parameters describing the gas exchange properties of leaves. Non …
A novel approach of fractional-order time delay system modeling based on Haar wavelet
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 …
operational matrix of integration. Therefore, it does not require any prior knowledge of …
[HTML][HTML] Multi-term time-fractional Bloch equations and application in magnetic resonance imaging
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 …
function of human tissue. However, magnetic resonance imaging signal behaviour at high or …
Improving the accuracy of soil organic carbon content prediction based on visible and near-infrared spectroscopy and machine learning
M Xu, X Chu, Y Fu, C Wang, S Wu - Environmental Earth Sciences, 2021 - Springer
Choosing appropriate multivariate calibration and preprocessing transformation techniques
is important in the determination of soil organic carbon (SOC) content based on visible and …
is important in the determination of soil organic carbon (SOC) content based on visible and …
Estimating cadmium-lead concentrations in rice blades through fractional order derivatives of foliar spectra
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 …
human health. Visible and near-infrared reflectance (VNIR) spectroscopy is a promising tool …
Fractional-order derivative spectral transformations improved partial least squares regression estimation of photosynthetic capacity from hyperspectral reflectance
G Song, Q Wang, J Jin - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
Hyperspectral spectroscopy based on partial least squares regression (PLSR) is an effective
tool for monitoring plant photosynthesis. Despite their wide applications, the robustness of …
tool for monitoring plant photosynthesis. Despite their wide applications, the robustness of …
Time fractional super-diffusion model and its application in peak-preserving smoothing
The super-diffusion model is suggested for peak-preserving smoothing. In this model, the
time derivative on the left of the classical diffusion model is replaced with the time fractional …
time derivative on the left of the classical diffusion model is replaced with the time fractional …