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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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Hoofdauteurs: Md. Zainul Abedin, Shoriful Islam, Md. Zillur Rahman, Md. Ali Ashraf, Md. Bellal Hossain
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Springer 2026-02-01
Reeks:Discover Soil
Onderwerpen:
Penetration resistance
Neural networks
Soil compaction
Cross validation
Machine learning
Model interpretability
Online toegang:https://doi.org/10.1007/s44378-026-00171-7
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