文献
J-GLOBAL ID:202202264587695741
整理番号:22A0474397
人工ニューラルネットワークパターン認識と空間データを用いる窒素のための集水域の分類【JST・京大機械翻訳】
Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data
著者 (7件):
O’Sullivan Cherie M.
(Centre for Sustainable Agricultural Systems, Institute for Life Sciences and the Environment University of Southern Queensland, Toowoomba, QLD 4350, Australia)
,
Ghahramani Afshin
(Centre for Sustainable Agricultural Systems, Institute for Life Sciences and the Environment University of Southern Queensland, Toowoomba, QLD 4350, Australia)
,
Deo Ravinesh C.
(School of Sciences, University of Southern Queensland, Toowoomba, QLD 4350, Australia)
,
Pembleton Keith
(Centre for Sustainable Agricultural Systems, Institute for Life Sciences and the Environment University of Southern Queensland, Toowoomba, QLD 4350, Australia)
,
Pembleton Keith
(School of Sciences, University of Southern Queensland, Toowoomba, QLD 4350, Australia)
,
Khan Urooj
(Bureau of Meteorology, Science and Innovation, Parkes Place West, Parkes, ACT 2600, Australia)
,
Tuteja Narendra
(Bureau of Meteorology, Science and Innovation, Parkes Place West, Parkes, ACT 2600, Australia)
資料名:
Science of the Total Environment
(Science of the Total Environment)
巻:
809
ページ:
Null
発行年:
2022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)