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

INTRODUCTION: Accurate 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 complex METHODS: A wood species identification model based on wood anatomy and using the Cyclo...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhan, Weihui, Chen, Bowen, Wu, Xiaolian, Yang, Zhen, Lin, Che, Lin, Jinguo, Guan, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361066/
https://www.ncbi.nlm.nih.gov/pubmed/37484454
http://dx.doi.org/10.3389/fpls.2023.1203836

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361066/
https://www.ncbi.nlm.nih.gov/pubmed/37484454
http://dx.doi.org/10.3389/fpls.2023.1203836

Ejemplares similares