Large-scale digital mapping of soil organic carbon content by using machine learning algorithms
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Updated
Sep 23, 2018 - R
Large-scale digital mapping of soil organic carbon content by using machine learning algorithms
Open datasets for crop modeling describing climate and soil in France.
SWAT+ model input data preparation helper
Code for analysis of soils, crops, and nutrition along a distance-to-forest gradient in Ethiopia
Comparing different data preprocessing methods to predict soil organic carbon content on soil spectra features
Published original data and R code from “Above- and belowground plant pathogens along elevational gradients: patterns and potential mechanisms”
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