文献
J-GLOBAL ID:202002292536039617
整理番号:20A0814497
比較研究:広角画像からの実用的プラント診断の固有の困難性【JST・京大機械翻訳】
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images
著者 (6件):
Suwa Katsumasa
(Hosei University,Applied Informatics, Graduate School of Science and Engineering,Tokyo,Japan)
,
Cap Quan Huu
(Hosei University,Applied Informatics, Graduate School of Science and Engineering,Tokyo,Japan)
,
Kotani Ryunosuke
(Hosei University,Applied Informatics, Graduate School of Science and Engineering,Tokyo,Japan)
,
Uga Hiroyuki
(Saitama Agricultural Technology Research Center,Saitama,Japan)
,
Kagiwada Satoshi
(Hosei University,Clinical Plant Science, Faculty of Bioscience and Applied Chemistry,Tokyo,Japan)
,
Iyatomi Hitoshi
(Hosei University,Applied Informatics, Graduate School of Science and Engineering,Tokyo,Japan)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
Big Data
ページ:
5195-5201
発行年:
2019年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)