Soil Condition Classification Based on Natural Water Content Using Computer Vision Technique

Soil Condition Classification Based on Natural Water Content Using Computer Vision Technique

Natural water content affects many geotechnical parameters and geological properties of soils, which can reduce cohesion and friction, leading to potential failures in structures such as foundations, retaining walls, and slopes. Identification of the water content helps in designing effective draina...

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Bibliographic Details
Main Authors: Mark Miller, Yong Fang, Yubo Wang, Sergey Kharitonov, Vladimir Akulich
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Infrastructures
Subjects:
TBM
computer vision
deep learning
CNN
water content
soil condition classification
Online Access:https://www.mdpi.com/2412-3811/10/6/138
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