Soil Structure Analysis with Attention: A Deep-Learning-Based Method for 3D Pore Segmentation and Characterization

Soil Structure Analysis with Attention: A Deep-Learning-Based Method for 3D Pore Segmentation and Characterization

The pore structure plays a crucial role in soil systems. It affects a range of processes essential for soil ecological functions, such as the transport and retention of water and nutrients, as well as gas exchanges. The mechanical and hydrological characteristics of soil are predominantly determined...

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Bibliographic Details
Main Authors: Italo Francyles Santos da Silva, Alan de Carvalho Araújo, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Deane Roehl
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:AgriEngineering
Subjects:
3D pore segmentation
soil characterization
porosity estimation
convolutional neural networks
attention mechanisms
computed tomography
Online Access:https://www.mdpi.com/2624-7402/7/2/27
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