Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks

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Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks

Soil erodibility (K) is an essential component in estimating soil loss indicating the soil's susceptibility to detach and transport. Data Computing and processing methods, such as artificial neural networks (ANNs) and multiple linear regression (MLR), have proven to be helpful in the developmen...

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Bibliographic Details
Published in:	HELIYON
Main Authors:	Rehman, Muhammad Ali; Abd Rahman, Norinah; Ibrahim, Ahmad Nazrul Hakimi; Kamal, Norashikin Ahmad; Ahmad, Asmadi
Format:	Article
Language:	English
Published:	CELL PRESS 2024
Subjects:	Science & Technology - Other Topics
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001203475200002

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