文献
J-GLOBAL ID:202102242231338968
整理番号:21A2453461
無人航空機ディジタル画像を用いた異なる成長段階で最適化したイネ成長指標の認定【JST・京大機械翻訳】
Qualifications of Rice Growth Indicators Optimized at Different Growth Stages Using Unmanned Aerial Vehicle Digital Imagery
著者 (6件):
Qiu Zhengchao
(The State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science Chinese Academy of Sciences, Nanjing 210008, China)
,
Qiu Zhengchao
(University of Chinese Academy of Sciences, Beijing 100049, China)
,
Xiang Haitao
(The State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science Chinese Academy of Sciences, Nanjing 210008, China)
,
Ma Fei
(The State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science Chinese Academy of Sciences, Nanjing 210008, China)
,
Du Changwen
(The State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science Chinese Academy of Sciences, Nanjing 210008, China)
,
Du Changwen
(University of Chinese Academy of Sciences, Beijing 100049, China)
資料名:
Remote Sensing (Web)
(Remote Sensing (Web))
巻:
12
号:
19
ページ:
3228
発行年:
2020年
JST資料番号:
U7270A
ISSN:
2072-4292
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)