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
Comparing different data preprocessing methods to predict soil organic carbon content on soil spectra features
Soil VIS-NIR reflectance spectra simulation based on generative model. PROSAIL model is integrated..
Functions to analyse mid infrared spectra of peat samples
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