Machine Learning for Cation Exchange Capacity Prediction in Different Land Uses-Reference-Cited by-同舟云学术

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Machine Learning for Cation Exchange Capacity Prediction in Different Land Uses

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

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

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference104 articles.

1. Rapid estimation of cation exchange capacity from soil water content;E Arthur;European Journal of Soil Science,2017

2. A cost and time-effective method to evaluate soil microbial respiration for soil quality assessment;E Bakhshandeh;Applied Soil Ecology,2019

3. Land use change effects on soil quality and biological fertility: A case study in northern Iran;E Bakhshandeh;European Journal of Soil Biology,2019

4. Prediction of soil physical properties by optimized support vector machines;A Besalatpour;International Agrophysics,2012

5. A random forest-guided tour;G Biau;Test,2016

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