文献
J-GLOBAL ID:202102270964965113
整理番号:21A1474007
ニューラルネットワークによるリンゴ果実および樹冠特徴の画像解析を用いた早期収量予測【JST・京大機械翻訳】
Early Yield Prediction Using Image Analysis of Apple Fruit and Tree Canopy Features with Neural Networks
著者 (6件):
Cheng Hong
(College of Information Science and Technology, Agricultural University of Hebei, Baoding 071001, China)
,
Cheng Hong
(Institute of Agricultural Engineering, Faculty of Agriculture, University of Bonn, 53115 Bonn, Germany)
,
Cheng Hong
(Key Lab of Agricultural Information Acquisition Technology, China Agricultural University, Beijing 100083, China)
,
Damerow Lutz
(Institute of Agricultural Engineering, Faculty of Agriculture, University of Bonn, 53115 Bonn, Germany)
,
Sun Yurui
(Key Lab of Agricultural Information Acquisition Technology, China Agricultural University, Beijing 100083, China)
,
Blanke Michael
(INRES-Horticultural Science, Faculty of Agriculture, University of Bonn, 53121 Bonn, Germany)
資料名:
Journal of Imaging (Web)
(Journal of Imaging (Web))
巻:
3
号:
1
ページ:
6
発行年:
2017年
JST資料番号:
U7220A
ISSN:
2313-433X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)