Log in
Language:

WEKO3

  • Top
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

  1. BULLETIN of the Forestry and Forest Products Research Institute
  2. Vol.21
  3. Vol.21 No.4

Model comparison of object detection algorism YOLO based on the cone detection from the imagery of tree crowns of Abies sachalinensis

https://repository.ffpri.go.jp/records/2001486
https://repository.ffpri.go.jp/records/2001486
3a54ffb2-dfdc-4460-8368-74fad9af278b
Name / File License Actions
BF21-4-3.pdf BF21-4-3.pdf (5.4 MB)
Item type デフォルトアイテムタイプ(シンプル)_研究報告(1)
Title
Title トドマツの樹冠画像からの球果検出に基づく物体検出アルゴリズムYOLO のモデル比較
Language ja
Title
Title Model comparison of object detection algorism YOLO based on the cone detection from the imagery of tree crowns of Abies sachalinensis
Language en
Creator HANAOKA, So

× HANAOKA, So

en HANAOKA, So

ja 花岡, 創

Search repository
FUKATSU,  Eitaro

× FUKATSU,  Eitaro

en FUKATSU,  Eitaro

ja 武津, 英太郎

Search repository
Rights
Rights © 2023 森林総合研究所
Keyword
Subject YOLOv4, YOLOv5, object detection, deep learning, fruit set evaluation
YOLOv4, YOLOv5, 物体検出, 深層学習, 着果評価
Language
Language jpn
Resource Type
Resource Type(Simple) departmental bulletin paper
Version Type
Version Type Resource http://purl.org/coar/version/c_970fb48d4fbd8a85
Relation
Identifier Type DOI
Related Identifier https://doi.org/10.20756/ffpri.21.4_267
Source Identifier
Source Identifier Type EISSN
Source Identifier 2189-9363
Bibliographic Information ja : 森林総合研究所研究報告
en : Bulletin of the Forestry and Forest Products Research Institute

Volume Number 21, Issue Number 4, p. 267-274, Issue Date 2023-01-16
Back
0
views
See details
Views

Versions

Ver.1 2023-06-12 00:09:45.386653
Show All versions

Share

Share
tweet

Cite as

Other

print

Export

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

Communities

Confirm

Confirm

Confirm


Powered by WEKO3


Powered by WEKO3