This repository contains machine learning-based pedotransfer models that predict saturated hydraulic conductivity (Ks). An app with a graphical user interface to run these models and other relevant materials including R codes used to build and test the models are available at the author's GitHub repository: https://github.com/saraya209/soil_ksat. 

Detailed description of this work is available in our paper published in the Journal of Water Resources Research: Araya and Ghezzehei (2019).