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MLSP (version 0.1.0)

Machine Learning Models for Soil Properties

Description

Creates a spectroscopy guideline with a highly accurate prediction model for soil properties using machine learning or deep learning algorithms such as LASSO, Random Forest, Cubist, etc., and decide which algorithm generates the best model for different soil types.

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Version

Install

install.packages('MLSP')

Monthly Downloads

111

Version

0.1.0

License

GPL-2

Maintainer

Pengyuan Chen

Last Published

October 8th, 2025

Functions in MLSP (0.1.0)

ml_f

Machine Learning Function for Soil Spectral Data
msd.comp

Compute Model Evaluation Metrics
soil_preprocess

Soil and Spectral Data Preprocessing for Model Training
merge_of_lab_and_spectrum

Merge Soil Laboratory Data with Spectral Data
colsMean

Compute Row-wise Means for Groups of Columns
raw

Aggregate VNIR Spectra by Columns