Potential of machine learning approaches for predicting mechanical properties of spruce wood in the transverse direction

Potential of machine learning approaches for predicting mechanical properties of spruce wood in the transverse direction

Abstract To predict the mechanical properties of wood in the transverse direction, this study used machine learning to extract the anatomical features of wood from cross-sectional stereograms. Specimens with different orientations of the ray parenchyma cell were prepared, and their modulus of elasti...

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Bibliographic Details
Main Authors: Shuoye Chen, Rei Shiina, Kazushi Nakai, Tatsuya Awano, Arata Yoshinaga, Junji Sugiyama
Format: Article
Language:English
Published: SpringerOpen 2023-06-01
Series:Journal of Wood Science
Subjects:
Deep learning
Computer vision
Properties prediction
Structure–property relationships
Online Access:https://doi.org/10.1186/s10086-023-02096-z

Internet

https://doi.org/10.1186/s10086-023-02096-z

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