Applicability of machine learning models for predicting soil organic carbon content and bulk density under different soil conditions
1 |
Department of Landscape Protection and Environmental Geography, University of Debrecen, Hungary |
2 |
Centre for Agricultural Research, Department of Soil Mapping and Environmental Informatics, Institute for Soil Sciences, Hungary |
3 |
Department of Physical Geography and Geoinformatics, University of Debrecen, Hungary |
AUTOR DO KORESPONDENCJI
Fatemeh Hateffard
Department of Landscape Protection and Environmental Geography, University of Debrecen, Egyetem tér 1, 4032, Debrecen, Hungary
Data nadesłania: 18-10-2022
Data ostatniej rewizji: 21-02-2023
Data akceptacji: 04-05-2023
Data publikacji online: 04-05-2023
Data publikacji: 20-06-2023
Soil Sci. Ann., 2023, 74(1)165879