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  5. Automated species discrimination and feature visualization of closely related Pterocarpus wood species using deep learning models: comparison of four convolutional neural networks.

Automated species discrimination and feature visualization of closely related Pterocarpus wood species using deep learning models: comparison of four convolutional neural networks.

Resource type
Journal article
Creator (person)
Liu, Shoujia
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Zheng, Chang
He, Tuo
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Zhan, Weihui
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Gasson, Peter
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Lu, Yang
Yin, Yafang
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Date published
August 20, 2025
Project(s)
Priority 5: Enhanced Partnerships
Funder
Funder nameAwards
National Natural Science Foundation of China, China
32201496
Chinese Academy of Forestry, China
CAFYBB2022GA001
Journal title
Wood Science and Technology
Volume
59
Article number
86
Publisher
Springer Science and Business Media LLC
Place of publication
Berlin/Heidelberg, Germany
ISSN
0043-7719
eISSN
1432-5225
Date accepted
July 23, 2025
Official URL
https://doi.org/10.1007/s00226-025-01690-2
Rights statement
In Copyright
DOI
10.1007/s00226-025-01690-2
Keywords
Layer class activation mapping
Species identification
Convolutional neural networks
Data augmentation
Pterocarpus
Neural networks
Additional information
IF = 3.0 (2024)
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