Machine Learning Approaches to Develop Pedotransfer Functions for Tropical Sri Lankan Soils

Machine Learning Approaches to Develop Pedotransfer Functions for Tropical Sri Lankan Soils

Poor data availability on soil hydraulic properties in tropical regions hampers many studies, including crop and environmental modeling. The high cost and effort of measurement and the increasing demand for such data have driven researchers to search for alternative approaches. Pedotransfer function...

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Bibliographic Details
Main Authors: M.H.J.P. Gunarathna, Kazuhito Sakai, Tamotsu Nakandakari, Kazuro Momii, M.K.N. Kumari
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Water
Subjects:
artificial neural networks
field capacity
k-nearest neighbor
linear regression
permanent wilting point
random forest
Waikato Environment for Knowledge Analysis (WEKA)
Online Access:https://www.mdpi.com/2073-4441/11/9/1940

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