Classification of Toona sinensis Young Leaves Using Machine Learning and UAV-Borne Hyperspectral Imagery

Rapid and accurate distinction between young and old leaves of Toona sinensis in the wild is of great significance to the selection of T. sinensis varieties and the evaluation of relative yield. In this study, UAV hyperspectral imaging technology was used to obtain canopy hyperspectral data of bienn...

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Detalles Bibliográficos
Autores principales: Wu, Haoran, Song, Zhaoying, Niu, Xiaoyun, Liu, Jun, Jiang, Jingmin, Li, Yanjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274089/
https://www.ncbi.nlm.nih.gov/pubmed/35837456
http://dx.doi.org/10.3389/fpls.2022.940327

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274089/
https://www.ncbi.nlm.nih.gov/pubmed/35837456
http://dx.doi.org/10.3389/fpls.2022.940327

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