Convolutional neural network prediction of the particle size distribution of soil from close-range images
Accurate soil particle size distributions are essential for various geotechnical applications. In this study, we propose a convolutional neural network approach for predicting the particle size distribution using soil image analysis. Our model is trained on a diverse dataset of soil samples ranging...
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Main Authors: | Enrico Soranzo, Carlotta Guardiani, Wei Wu |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
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Series: | Soils and Foundations |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0038080625000095 |
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