Spatial prediction of organic carbon in German agricultural topsoil using machine learning algorithms

Publikationsart: Zeitschriftenbeiträge (peer-reviewed)
Titel: Spatial prediction of organic carbon in German agricultural topsoil using machine learning algorithms
Medien: SOIL
DOI: 10.5194/soil-8-587-2022
Heft: 2
Band: 8
ISBN: 2199-398X
Autoren: Ali Sakhaee, Anika Gebauer, Prof. Dr. Mareike Ließ , Axel Don
Herausgeber: Copernicus Publications
Seiten: 587-604
Veröffentlichungsdatum: 22.09.2022
Zitation: Sakhaee, Ali; Gebauer, Anika; Ließ, Mareike; Don, Axel (2022): Spatial prediction of organic carbon in German agricultural topsoil using machine learning algorithms. SOIL 8 (2), S. 587-604. DOI: 10.5194/soil-8-587-2022