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Crop yield anomaly forecasting in the Pannonian basin using gradient boosting and its performance in years of severe drought
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SYSNO 0575101 Title Crop yield anomaly forecasting in the Pannonian basin using gradient boosting and its performance in years of severe drought Author(s) Bueechi, E. (CH)
Fischer, Milan (UEK-B) [VS1] RID, ORCID, SAI
Crocetti, L. (AT)
Trnka, Miroslav (UEK-B) [VS1] RID, ORCID, SAI
Grlj, A. (SI)
Zappa, L. (AT)
Dorigo, W. (AT)Source Title Agricultural and Forest Meteorology. Roč. 340, SEP (2023). - : Elsevier Article number 109596 Document Type Článek v odborném periodiku Grant EF16_019/0000797 GA MŠMT - Ministry of Education, Youth and Sports (MEYS), CZ - Czech Republic Institutional support UEK-B - RVO:86652079 Language eng Country NL Keywords Crop yield forecast * Remote sensing * Machine learning * XGBoost * Drought URL https://www.sciencedirect.com/science/article/pii/S0168192323002873?via%3Dihub Permanent Link https://hdl.handle.net/11104/0344960 File Download Size Commentary Version Access 1-s2.0-S0168192323002873-main.pdf 3 6.8 MB Publisher’s postprint open-access
Number of the records: 1