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Cone Detection of Abies sachalinensis Using a Convolutional Neural Network with Unmanned Aerial Vehicle (UAV) Images
https://repository.ffpri.go.jp/records/2000054
https://repository.ffpri.go.jp/records/2000054320ccc3b-406a-4f04-b7ca-f697a508f639
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FR2021-08-09RV.pdf (2.8 MB)
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FR2021-08-09R-Supplementary material.zip (1.9 MB)
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| 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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| PubDate | 2023-01-27 | |||||||||
| Title | ||||||||||
| Title | 畳み込みニューラルネットワークを用いた無人航空機（UAV）撮影画像からのトドマツ球果の検出 | |||||||||
| Language | ja | |||||||||
| Title | ||||||||||
| Title | Cone Detection of Abies sachalinensis Using a Convolutional Neural Network with Unmanned Aerial Vehicle (UAV) Images | |||||||||
| Language | en | |||||||||
| Creator |
Hanaoka, So
× Hanaoka, So
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| Rights | ||||||||||
| Rights | ©2021 一般社団法人日本森林学会：この著作はクリエイティブ・コモンズのライセンス CC BY-NC-ND（引用を表示し，改変せず，非営利目的に限定）の条件の元で再配布・二次利 用が可能なオープンアクセスです。https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja | |||||||||
| Rights | ||||||||||
| Rights Resource | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja | |||||||||
| Rights | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International | |||||||||
| Keyword | ||||||||||
| Subject | object detection, YOLOv4, Abies sachalinensis, AI, Deep Learning 物体検出, YOLOv4, トドマツ, AI, ディープラーニング |
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| Publisher | ||||||||||
| Publisher | 一般社団法人日本森林学会 | |||||||||
| Language | ||||||||||
| Language | jpn | |||||||||
| Resource Type | ||||||||||
| Resource Type(Simple) | journal article | |||||||||
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| Version Type | VoR | |||||||||
| Version Type Resource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||
| Relation | ||||||||||
| Identifier Type | DOI | |||||||||
| Related Identifier | https://doi.org/10.4005/jjfs.103.372 | |||||||||
| Source Identifier | ||||||||||
| Source Identifier Type | PISSN | |||||||||
| Source Identifier | 1349-8509 | |||||||||
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| Source Identifier Type | EISSN | |||||||||
| Source Identifier | 1882-398X | |||||||||
| Bibliographic Information |
ja : 日本森林学会誌 en : Journal of the Japanese Forest Society Volume Number 103, Issue Number 5, p. 372-377, Issue Date 2021-10-01 |
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| Reference Number | ||||||||||
| FR2021-08-09R | ||||||||||
