Machine learning for cation exchange capacity prediction in different land uses-Reference-Cited by-同舟云学术

Machine learning for cation exchange capacity prediction in different land uses

Published:2022-09 Issue: Volume:216 Page:106404
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Mishra Gaurav,Sulieman Magboul M.,Kaya Fuat,Francaviglia Rosa,Keshavarzi Ali,Bakhshandeh Esmaeil,Loum Macoumba,Jangir Abhishek,Ahmed Ibrahim,Elmobarak Abdelmagid,Basher AdbElrahim,Rawat Deepa

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference112 articles.

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3. Environmental factors controlling soil organic carbon storage in loess soils of a subhumid region, northern Iran;Ajami;Geoderma,2016

4. Rapid estimation of cation exchange capacity from soil water content;Arthur;Eur. J. Soil Sci.,2017

5. Pasture degradation effects on soil quality indicators at different hillslope positions in a semiarid region of western Iran;Ayoubi;Environ. Earth Sci.,2014

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