文献
J-GLOBAL ID:202202288356976546
整理番号:22A0436712
イラン西部における機械学習アプローチと環境共変量の適用による重金属含有量の予測【JST・京大機械翻訳】
Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran
著者 (5件):
Azizi Kamran
(Department of Soil Science, College of Agriculture, Isfahan University of Technology, 84156-83111 Isfahan, Iran)
,
Ayoubi Shamsollah
(Department of Soil Science, College of Agriculture, Isfahan University of Technology, 84156-83111 Isfahan, Iran)
,
Nabiollahi Kamal
(Department of Soil Science and Engineering, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran)
,
Garosi Younes
(Department of Soil Science, College of Agriculture, Isfahan University of Technology, 84156-83111 Isfahan, Iran)
,
Gislum Rene
(Department of Agroecology, Aarhus University, Forsogsvej 1, 4200 Slagelse, Denmark)
資料名:
Journal of Geochemical Exploration
(Journal of Geochemical Exploration)
巻:
233
ページ:
Null
発行年:
2022年
JST資料番号:
D0290C
ISSN:
0375-6742
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)