Work

Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning

Year: 2018

Type: article

Source: Agricultural and Forest Meteorology

DOI: 10.1016/j.agrformet.2018.09.021

Authors: C. Folberth, A. Baklanov, J. Balkovič, R. Skalský, N. Khabarov, M. Obersteiner

Institutions: International Institute for Applied Systems Analysis, National Research University Higher School of Economics, Comenius University Bratislava, Výskumný Ústav Pôdoznalectva a Ochrany Pôdy, National Agricultural and Food Centre

Language: English

Topic: Climate change impacts on agriculture

Subfield: Agronomy and Crop Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Climate action

Open Access status: green

Funders: National Research University Higher School of Economics, European Research Council

Award: G8516299527

OpenAlex ID: W2895348292

FWCI: 13.55

Cites: 58

Cited by: 165

Related to: 10