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0575101 - ÚVGZ 2024 RIV NL eng J - Journal Article
Bueechi, E. - Fischer, Milan - Crocetti, L. - Trnka, Miroslav - Grlj, A. - Zappa, L. - Dorigo, W.
Crop yield anomaly forecasting in the Pannonian basin using gradient boosting and its performance in years of severe drought.
Agricultural and Forest Meteorology. Roč. 340, SEP (2023), č. článku 109596. ISSN 0168-1923. E-ISSN 1873-2240
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : Crop yield forecast * Remote sensing * Machine learning * XGBoost * Drought
OECD category: Meteorology and atmospheric sciences
Impact factor: 6.2, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0168192323002873?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0344960