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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...
Autores principales: | Kim, Tae Kyung, Hong, Jeonghyun, Ryu, Daun, Kim, Sukyung, Byeon, Si Yeon, Huh, Woojin, Kim, Kunhyo, Baek, Gyu Heon, Kim, Hyun Seok |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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