[HTML][HTML] Estimation of rock copper content based on fractional-order derivative and visible near-infrared–shortwave infrared spectroscopy
G Jiang, K Zhou, J Wang, G Sun, S Cui, T Chen… - Ore Geology …, 2022 - Elsevier
Rock geochemistry can accurately and effectively delineate geological anomalies, providing
clear instructions for geological prospecting and playing a crucial role in mineral resource …
clear instructions for geological prospecting and playing a crucial role in mineral resource …
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 …
Prediction of soil organic matter in northwestern China using fractional-order derivative spectroscopy and modified normalized difference indices
Abstract Visible-near-infrared (Vis-NIR) spectroscopy makes it possible to estimate soil
organic matter content (SOMC). Spectral pretreatment techniques have important …
organic matter content (SOMC). Spectral pretreatment techniques have important …
Combination of fractional order derivative and memory-based learning algorithm to improve the estimation accuracy of soil organic matter by visible and near-infrared …
Visible and near-infrared (Vis–NIR) spectroscopy is used to estimate soil organic matter
(SOM). Spectral preprocessing techniques and multivariate modeling methods play …
(SOM). Spectral preprocessing techniques and multivariate modeling methods play …
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 …
[HTML][HTML] Simultaneous estimation of multiple soil properties under moist conditions using fractional-order derivative of vis-NIR spectra and deep learning
Y Liu, Y Lu, D Chen, W Zheng, Y Ma, X Pan - Geoderma, 2023 - Elsevier
The application of visible and near-infrared (vis-NIR) spectroscopy for predicting soil
properties presents a cost-effective and time-efficient approach for evaluating various soil …
properties presents a cost-effective and time-efficient approach for evaluating various soil …
[HTML][HTML] Quantifying leaf chlorophyll concentration of sorghum from hyperspectral data using derivative calculus and machine learning
S Bhadra, V Sagan, M Maimaitijiang… - Remote Sensing, 2020 - mdpi.com
Leaf chlorophyll concentration (LCC) is an important indicator of plant health, vigor,
physiological status, productivity, and nutrient deficiencies. Hyperspectral spectroscopy at …
physiological status, productivity, and nutrient deficiencies. Hyperspectral spectroscopy at …
Study on hyperspectral monitoring model of soil total nitrogen content based on fractional-order derivative
C Yang, M Feng, L Song, B Jing, Y Xie, C Wang… - … and Electronics in …, 2022 - Elsevier
Realizing the real-time nondestructive monitoring of soil total nitrogen (STN) content is an
important task to promote precision agriculture development. In this study, a water regulation …
important task to promote precision agriculture development. In this study, a water regulation …
[HTML][HTML] 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 …
[HTML][HTML] Hyperspectral estimation of wheat stripe rust using fractional order differential equations and Gaussian process methods
J Zhang, X Jing, X Song, T Zhang, WN Duan… - … and Electronics in …, 2023 - Elsevier
Wheat stripe rust is the main cause of yield loss in winter wheat. For nondestructive
monitoring of wheat stripe rust by remote sensing, a high-precision stripe rust monitoring …
monitoring of wheat stripe rust by remote sensing, a high-precision stripe rust monitoring …