文献
J-GLOBAL ID:202102279214673018
整理番号:21A2529587
深層学習技術を用いた植物上の高閉塞未熟トマトの無傷検出【JST・京大機械翻訳】
Intact Detection of Highly Occluded Immature Tomatoes on Plants Using Deep Learning Techniques
著者 (6件):
Mu Yue
(Plant Phenomics Research Center, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China)
,
Mu Yue
(International Field Phenomics Research Laboratory, Institute for Sustainable Agro-ecosystem Services, The University of Tokyo, 1-1-1 Midori-cho, Nishi-Tokyo, Tokyo 188-0002, Japan)
,
Chen Tai-Shen
(Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657, Japan)
,
Ninomiya Seishi
(Plant Phenomics Research Center, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China)
,
Ninomiya Seishi
(International Field Phenomics Research Laboratory, Institute for Sustainable Agro-ecosystem Services, The University of Tokyo, 1-1-1 Midori-cho, Nishi-Tokyo, Tokyo 188-0002, Japan)
,
Guo Wei
(International Field Phenomics Research Laboratory, Institute for Sustainable Agro-ecosystem Services, The University of Tokyo, 1-1-1 Midori-cho, Nishi-Tokyo, Tokyo 188-0002, Japan)
資料名:
Sensors (Web)
(Sensors (Web))
巻:
20
号:
10
ページ:
2984
発行年:
2020年
JST資料番号:
U7015A
ISSN:
1424-8220
CODEN:
SENSC9
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)