文献
J-GLOBAL ID:201902239578209031
整理番号:19A2900460
クインズランドオーストラリアの南東地域における農業干ばつの空間モデリングのための機械学習アプローチ【JST・京大機械翻訳】
Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
著者 (10件):
Rahmati Omid
(Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Viet Nam)
,
Rahmati Omid
(Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Viet Nam)
,
Falah Fatemeh
(Department of Watershed management Engineering, Lorestan University, Lorestan, Iran)
,
Dayal Kavina Shaanu
(Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sandy Bay, 7005, Tasmania, Australia)
,
Deo Ravinesh C.
(School of Sciences, Centre for Sustainable Agricultural Systems, Centre for Applied Climate Sciences, University of Southern Queensland, Springfield, QLD 4300, Australia)
,
Mohammadi Farnoush
(Faculty of Natural Resources, University of Tehran, Karaj, Iran)
,
Biggs Trent
(Department of Geography, San Diego State University, San Diego, CA 92182, USA)
,
Moghaddam Davoud Davoudi
(Department of Watershed Management, Faculty of Agriculture and Natural Resources, Lorestan University, Khorramabad, Iran)
,
Naghibi Seyed Amir
(Department of Watershed Management Engineering, Tarbiat Modares University (TMU), Tehran, Iran)
,
Bui Dieu Tien
(Institute of Research and Development, Duy Tan University, Da Nang 550000, Viet Nam)
資料名:
Science of the Total Environment
(Science of the Total Environment)
巻:
699
ページ:
Null
発行年:
2020年
JST資料番号:
C0501B
ISSN:
0048-9697
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)