Bulk Density for Brazilian soils from texture and Organic Carbon

Setup

A random forest model to predict bulk density (g cm-3) for Brazilian soils from texture and organic matter.

The file "model.jlib" contains the trained model in "joblib" format (version 1.2.0), which can be loaded as a scikit-learn Random Forest Regressor. The model was fitted using scikit-learn version 1.2.2.

For the other libraries used in this script:

• pandas version 1.5.3
• numpy version 1.23.5

o install the required libraries, run the following command:

pip install pandas==1.5.3 numpy==1.23.5 scikit-learn==1.2.2

An example is also provided. To run the example, download the following files:

• run_rf.py
• model.jlib
• toc_texture.csv

Then, execute the Python script "run_rf.py" with all the files in the same folder.

The model was fitted using the HYBRAS soil dataset (Ottoni et al. 2018)

References

Ottoni, M. V., Ottoni Filho, T. B., Schaap, M. G., LopesAssad, M. L. R., and Rotunno Filho, O. C.: Hydrophysical Database for Brazilian Soils (HYBRAS) and Pedotransfer Functions for Water Retention, Vadose Zone J., 17, 170095, https://doi.org/10.2136/vzj2017.05.0095, 2018.