EGU22-7245
https://doi.org/10.5194/egusphere-egu22-7245
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Application of a national soil spectrum library for the prediction of primary soil properties using machine learning – the first results

Zsófia Kovács1,2, János Mészáros1, Nóra Szűcs-Vásárhelyi1, Péter László1, Gábor Szatmári1, Mátyás Árvai1, and László Pásztor1
Zsófia Kovács et al.
  • 1Institute for Soil Sciences, Centre for Agricultural Research, Department of Soil Mapping and Environmental Informatics, Budapest, Hungary
  • 2ELTE Doctoral School of Environmental Sciences, Budapest, Hungary

How to cite: Kovács, Z., Mészáros, J., Szűcs-Vásárhelyi, N., László, P., Szatmári, G., Árvai, M., and Pásztor, L.: Application of a national soil spectrum library for the prediction of primary soil properties using machine learning – the first results, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7245, https://doi.org/10.5194/egusphere-egu22-7245, 2022.

This abstract has been withdrawn on 27 May 2022.