Log in
Language:

WEKO3

  • Top
  • Ranking
To

Field does not validate

To

Field does not validate

To
lat lon distance


Index Link

Index Tree

  • RootNode

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

  1. Journal Article

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/2000054
320ccc3b-406a-4f04-b7ca-f697a508f639
Name / File License Actions
FR2021-08-09RV.pdf FR2021-08-09RV.pdf (2.8 MB)
license.icon
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)
Title
Title Cone Detection of Abies sachalinensis Using a Convolutional Neural Network with Unmanned Aerial Vehicle (UAV) Images
Language en
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
Creator Hanaoka, So

× Hanaoka, So

en Hanaoka, So

ja 花岡, 創

Search repository
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
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
Publisher
Publisher 一般社団法人日本森林学会
Language
Language jpn
Resource Type
Resource Type(Simple) journal article
Version Type
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
Source Identifier
Source Identifier Type EISSN
Source Identifier 1882-398X
Bibliographic Information en : Journal of the Japanese Forest Society
ja : 日本森林学会誌

Volume Number 103, Issue Number 5, p. 372-377, Issue Date 2021-10-01
Reference Number
FR2021-08-09R
Back
0
views
See details
Views

Versions

Ver.1 2023-01-27 02:05:01.000955
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

Export

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3