文献
J-GLOBAL ID:202002275659480588
整理番号:20A2726968
機械学習法を用いたイネ収量予測における統合生物季節学と気候【JST・京大機械翻訳】
Integrated phenology and climate in rice yields prediction using machine learning methods
著者 (10件):
Guo Yahui
(College of Water Sciences, Beijing Normal University, Beijing 100875, China)
,
Fu Yongshuo
(College of Water Sciences, Beijing Normal University, Beijing 100875, China)
,
Hao Fanghua
(College of Water Sciences, Beijing Normal University, Beijing 100875, China)
,
Zhang Xuan
(College of Water Sciences, Beijing Normal University, Beijing 100875, China)
,
Wu Wenxiang
(Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
,
Wu Wenxiang
(CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences (CAS), Beijing 100101, China)
,
Jin Xiuliang
(Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing 100081, China)
,
Robin Bryant Christopher
(School of Environmental Design and Rural Development, University of Guelph, Guelph, ON N1G2W5, Canada)
,
Robin Bryant Christopher
(Geographie, Universitede Montreal, Montrea, QC H2V2B8, Canada)
,
Senthilnath J.
(Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 138632, Singapore)
資料名:
Ecological Indicators
(Ecological Indicators)
巻:
120
ページ:
Null
発行年:
2021年
JST資料番号:
A1221A
ISSN:
1470-160X
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)