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Validation study on the practical accuracy of wood species identification via deep learning from visible microscopic images
https://repository.ffpri.go.jp/records/2004550
https://repository.ffpri.go.jp/records/2004550e17d7f73-553a-4008-b1e9-4b28280f1600
| Item type | デフォルトアイテムタイプ（シンプル）_学術雑誌論文(1) | |||||||||||||||
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| Title | ||||||||||||||||
| Title | Validation study on the practical accuracy of wood species identification via deep learning from visible microscopic images | |||||||||||||||
| Language | en | |||||||||||||||
| Creator |
Ma Te
× Ma Te
× Kimura Fumiya
× Tsuchikawa Satoru
× Kojima Miho
× Inagaki Tetsuya
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| Keyword | ||||||||||||||||
| Subject | Wood species identification, Microscopic cross-sectional images, Convolutional neural networks (CNN), Practical accuracy, Interactive platform, Web-based identification | |||||||||||||||
| Publisher | ||||||||||||||||
| Publisher | NC State University | |||||||||||||||
| Language | ||||||||||||||||
| Language | eng | |||||||||||||||
| Resource Type | ||||||||||||||||
| Resource Type(Simple) | journal article | |||||||||||||||
| Relation | ||||||||||||||||
| Identifier Type | DOI | |||||||||||||||
| Related Identifier | https://doi.org/10.15376/biores.19.3.4838-4851 | |||||||||||||||
| Source Identifier | ||||||||||||||||
| Source Identifier Type | EISSN | |||||||||||||||
| Source Identifier | 1930-2126 | |||||||||||||||
| Bibliographic Information |
en : BioResources Volume Number 19, Issue Number 3, p. 4838-4851, Issue Date 2024-05-31 |
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| Reference Number | ||||||||||||||||
| FR2024-06-09 | ||||||||||||||||
