Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping

The significance of automatic plant identification has already been recognized by academia and industry. There were several attempts to utilize leaves and flowers for identification; however, bark also could be beneficial, especially for trees, due to its consistency throughout the seasons and its e...

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Detalles Bibliográficos
Autores principales: Kim, Tae Kyung, Hong, Jeonghyun, Ryu, Daun, Kim, Sukyung, Byeon, Si Yeon, Huh, Woojin, Kim, Kunhyo, Baek, Gyu Heon, Kim, Hyun Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934343/
https://www.ncbi.nlm.nih.gov/pubmed/35306532
http://dx.doi.org/10.1038/s41598-022-08571-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934343/
https://www.ncbi.nlm.nih.gov/pubmed/35306532
http://dx.doi.org/10.1038/s41598-022-08571-9

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