文献
J-GLOBAL ID:202002243084790802
整理番号:20A2560741
自然環境におけるリンゴ花のリアルタイムおよび正確な検出のためのチャネル枝刈りベースのYOLO v4深層学習アルゴリズムの利用【JST・京大機械翻訳】
Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments
著者 (12件):
Wu Dihua
(College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China)
,
Wu Dihua
(Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, Shaanxi 712100, China)
,
Wu Dihua
(Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Services, Yangling 712100, China)
,
Lv Shuaichao
(College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China)
,
Lv Shuaichao
(Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, Shaanxi 712100, China)
,
Lv Shuaichao
(Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Services, Yangling 712100, China)
,
Jiang Mei
(College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China)
,
Jiang Mei
(Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, Shaanxi 712100, China)
,
Jiang Mei
(Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Services, Yangling 712100, China)
,
Song Huaibo
(College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China)
,
Song Huaibo
(Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, Shaanxi 712100, China)
,
Song Huaibo
(Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Services, Yangling 712100, China)
資料名:
Computers and Electronics in Agriculture
(Computers and Electronics in Agriculture)
巻:
178
ページ:
Null
発行年:
2020年
JST資料番号:
T0337A
ISSN:
0168-1699
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)