American Psychological Association 6th edition

Gopp, N. V. (2025). Digital Mapping of the Humus Horizon Thickness in Soils of the Cis-Salair Plain Using the Random Forest Machine Learning Algorithm. Eurasian Soil Science, 58(11). https://doi.org/10.1134/s1064229325601568

ISO-690 (author-date, English)

GOPP, N. V., 2025. Digital Mapping of the Humus Horizon Thickness in Soils of the Cis-Salair Plain Using the Random Forest Machine Learning Algorithm. Eurasian Soil Science. 1 November 2025. Vol. 58, no. 11, . DOI 10.1134/s1064229325601568.

Modern Language Association 9th edition

Gopp, N. V. „Digital Mapping of the Humus Horizon Thickness in Soils of the Cis-Salair Plain Using the Random Forest Machine Learning Algorithm“. Eurasian Soil Science, Bd. 58, Nr. 11, November 2025, https://doi.org/10.1134/s1064229325601568.

Mohr Siebeck - Recht (Deutsch - Österreich)

Gopp, N. V.: Digital Mapping of the Humus Horizon Thickness in Soils of the Cis-Salair Plain Using the Random Forest Machine Learning Algorithm, Eurasian Soil Science 2025,

Emerald - Harvard

Gopp, N.V. (2025), „Digital Mapping of the Humus Horizon Thickness in Soils of the Cis-Salair Plain Using the Random Forest Machine Learning Algorithm“, Eurasian Soil Science, Vol. 58 No. 11, verfügbar unter:https://doi.org/10.1134/s1064229325601568.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.