Wood identification of Cyclobalanopsis (Endl.) Oerst based on microscopic features and CTGAN-enhanced explainable machine learning models

Wood identification of Cyclobalanopsis (Endl.) Oerst based on microscopic features and CTGAN-enhanced explainable machine learning models

IntroductionAccurate and fast identification of wood at the species level is critical for protecting and conserving tree species resources. The current identification methods are inefficient, costly, and complexMethodsA wood species identification model based on wood anatomy and using the Cyclobalan...

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Bibliographic Details
Main Authors: Weihui Zhan, Bowen Chen, Xiaolian Wu, Zhen Yang, Che Lin, Jinguo Lin, Xin Guan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Plant Science
Subjects:
Cyclobalanopsis (Endl.) Oerst
wood identification
machine learning
CTGAN
LIME
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1203836/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2023.1203836/full

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