z-logo
open-access-imgOpen Access
Prediction of soil water retention curve based on physical characterization parameters using machine learning
Author(s) -
Enzo Aldo Cunha Albuquerque,
Lucas Parreira de Faria Borges,
André Luís Brasil Cavalcante,
Sandro Lemos Machado
Publication year - 2022
Publication title -
soils and rocks
Language(s) - English
Resource type - Journals
eISSN - 2675-5475
pISSN - 1980-9743
DOI - 10.28927/sr.2022.000222
Subject(s) - water retention curve , silt , water retention , machine learning , estimator , pedotransfer function , soil water , water content , soil science , suction , computer science , mathematics , artificial intelligence , geotechnical engineering , hydraulic conductivity , environmental science , statistics , geology , engineering , mechanical engineering , paleontology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom