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Florian Schierhorn, Max Hofmann, Taras Gagalyuk et al.

Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages

Dordrecht: Springer, 2021

Title

Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages / Florian Schierhorn, Max Hofmann, Taras Gagalyuk, Igor Ostapchuk, Daniel Müller

Involved 

Florian Schierhorn (Verfasser)
Max Hofmann (Verfasser)
Taras Gagalyuk (Verfasser)
Igor Ostapchuk (Verfasser)
Daniel Müller (Verfasser)

Published

Dordrecht: Springer
2021

Extent

Online-Ressource

Language

Englisch

Country

Deutschland

Topic

Landwirtschaft, Veterinärmedizin

Subject
agriculture
climatic change
yield variability
extreme events
random forests
Ukraine

DDC notation

634.9

Persistent identifier

urn:nbn:de:101:1-2022011101060626243646 (URN)
10.1007/s10584-021-03272-0 (DOI)
10419/248550 (Handle)

Further information

In: Referierte Aufsätze von Forscherinnen und Forschern des Leibniz-Instituts für Agrarentwicklung in Transformationsökonomien (IAMO)
In: Climatic Change, ISSN: 1573-1480, 2021, Volume: 169, Issue: (Article No.:) 39, Pages:

Record ID

1249140366
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