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0545755 - ÚVGZ 2022 RIV NL eng J - Journal Article
Jurečka, František - Fischer, Milan - Hlavinka, Petr - Balek, Jan - Semerádová, Daniela - Bláhová, Monika - Anderson, M. C. - Hain, C. - Žalud, Zdeněk - Trnka, Miroslav
Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic.
Agricultural Water Management. Roč. 256, OCT (2021), č. článku 107064. ISSN 0378-3774. E-ISSN 1873-2283
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : evaporative stress index * crop yield * agricultural drought * central-europe * united-states * time-series * soil * climate * system * parameterization * Artificial neural network * Crop yield prediction * Evapotranspiration * Evaporative stress index * Spring barley * Winter wheat
OECD category: Agriculture
Impact factor: 6.611, year: 2021
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0378377421003292?via%3Dihub
Permanent Link: http://hdl.handle.net/11104/0322417