R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data
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Updated
Sep 4, 2024 - R
R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data
resemble is an R package which implements functions dedicated to non-linear modelling of complex spectroscopy data
R scripts for predicting soil organic carbon using soil spectral library from visible, near-infrared and shortwave-infrared (VNIR) and middle-infrared (MIR) using LASSO and PLS regression methods and the target-oriented cross-validation strategy.
Prediction of Exchangeable Potassium in Soil through Mid-Infrared Spectroscopy and Deep Learning: from Prediction to Explainability, Albinet et al., 2022
Soil VIS-NIR reflectance spectra simulation based on generative model. PROSAIL model is integrated..
Comparing different data preprocessing methods to predict soil organic carbon content on soil spectra features
Functions to analyse mid infrared spectra of peat samples
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