文献
J-GLOBAL ID:202202270918180037
整理番号:22A0099598
作物収量モデリングにおける機械学習:強力なツールであるが,科学にとって代理しない【JST・京大機械翻訳】
Machine learning in crop yield modelling: A powerful tool, but no surrogate for science
著者 (9件):
Lischeid Gunnar
(Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Strasse 84, Muencheberg D-15374, Germany)
,
Lischeid Gunnar
(University of Potsdam, Institute of Environmental Science and Geography, Karl-Liebknecht-Strasse 24-25, Potsdam D-14476, Germany)
,
Webber Heidi
(Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Strasse 84, Muencheberg D-15374, Germany)
,
Sommer Michael
(Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Strasse 84, Muencheberg D-15374, Germany)
,
Sommer Michael
(University of Potsdam, Institute of Environmental Science and Geography, Karl-Liebknecht-Strasse 24-25, Potsdam D-14476, Germany)
,
Nendel Claas
(Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Strasse 84, Muencheberg D-15374, Germany)
,
Nendel Claas
(University of Potsdam, Institute of Biochemistry and Biology, Karl-Liebknecht-Strasse 24-25, Potsdam D-14476, Germany)
,
Ewert Frank
(Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Strasse 84, Muencheberg D-15374, Germany)
,
Ewert Frank
(University of Bonn, Institute of Crop Science and Resource Conservation (INRES), Katzenburgweg 5, Bonn D-53115, Germany)
資料名:
Agricultural and Forest Meteorology
(Agricultural and Forest Meteorology)
巻:
312
ページ:
Null
発行年:
2022年
JST資料番号:
C0901A
ISSN:
0168-1923
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)