Land suitability assessment for sisal production: A machine learning and Analytical Hierarchy Process integrated approach

Land suitability assessment for sisal production: A machine learning and Analytical Hierarchy Process integrated approach

Land suitability evaluation is critical in achieving efficient and sustainable use of land resources. This study applied multicriteria decision analysis by intergrading soil, climate, and topography parameters with the Analytical Hierarchy Process (AHP) and Random Forest (RF) model to analyze the la...

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Bibliographic Details
Main Authors: R.N. Mgohele, B.H. J. Massawe, M.J. Shitindi, H.G. Sanga, M.M. Omar
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Soil Advances
Subjects:
Multicriteria land suitability
Machine Learning
Remote sensing
Conditioned Latin hypercube
Mass preserving spline
Digital soil mapping
Online Access:http://www.sciencedirect.com/science/article/pii/S2950289625000168
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