An efficient classification system for excavated soils using soil image deep learning and TDR cone penetration test

Author:

Zhan Liang-tong,Guo Qi-meng,Chen Yun-min,Wang Shun-yu,Feng Tian,Bian Yi,Wu Jian-jun,Yin Zhen-yu

Publisher

Elsevier BV

Subject

Computer Science Applications,Geotechnical Engineering and Engineering Geology

Reference49 articles.

1. Phenotypic trait extraction of soybean plants using deep convolutional neural networks with transfer learning;Adams;Big Data Inf. Anal.,2021

2. Application of machine vision for classification of soil aggregate size;Ajdadi;Soil Tillage Res.,2016

3. ASAE S313.3. FEB1999, R2018. Soil Cone Penetrometer.

4. ASTM D1535-14, 2018. Standard Practice for Specifying Color by the Munsell System. ASTM International, West Conshohocken.

5. ASTM D2487-17e1, 2017. Standard Practice for Classification of Soils for Engineering Purposes (Unified Soil Classification System). ASTM International, West Conshohocken.

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