Predicting the cone penetration resistance of unsaturated agricultural soils by neural network

Abstract This study develops and evaluates an Artificial Neural Network (ANN) model for predicting cone penetration resistance (CPR) in unsaturated silt loam soils. Controlled soil bin experiments were conducted under varying moisture contents and compaction levels to investigate the relationships a...

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Autors principals:	Md. Zainul Abedin, Shoriful Islam, Md. Zillur Rahman, Md. Ali Ashraf, Md. Bellal Hossain
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2026-02-01
Col·lecció:	Discover Soil
Matèries:	Penetration resistance Neural networks Soil compaction Cross validation Machine learning Model interpretability
Accés en línia:	https://doi.org/10.1007/s44378-026-00171-7
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