Toward Developing a Generalizable Pedotransfer Function for Saturated Hydraulic Conductivity Using Transfer Learning and Predictor Selector Algorithm
Author:
Affiliation:
1. School of Infrastructure Indian Institute of Technology Bhubaneswar Odisha India
2. Department of Biological and Agricultural Engineering Texas A&M University College Station TX USA
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR028862
Reference83 articles.
1. Pedotransfer functions for predicting the hydraulic properties of Indian soils
2. Using Machine Learning for Prediction of Saturated Hydraulic Conductivity and Its Sensitivity to Soil Structural Perturbations
3. Using Classification Trees to Evaluate the Performance of Pedotransfer Functions
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