African soil properties and nutrients mapped at 30 m spatial resolution using two‑scale ensemble machine learning

MLA

Hengl, Tomislav, et al. “African Soil Properties and Nutrients Mapped at 30 m Spatial Resolution Using Two‑scale Ensemble Machine Learning.” Scientific Reports, 2021. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1255698018&authtype=sso&custid=ns315887.

APA

Hengl, T., Miller, M. A. E., Križan, J., Shepherd, K. D., Sila, A., Kilibarda, M., Antonijević, O., Glušica, L., Dobermann, A., Haefele, S. M., McGrath, S. P., Acquah, G. E., Collinson, J., Parente, L., Sheykhmousa, M., Saito, K., Johnson, J., Chamberlin, J., Silatsa, F. B. T., … Crouch, J. (2021). African soil properties and nutrients mapped at 30 m spatial resolution using two‑scale ensemble machine learning. Scientific Reports.

Chicago

Hengl, Tomislav, Matthew A. E. Miller, Josip Križan, Keith D. Shepherd, Andrew Sila, Milan Kilibarda, Ognjen Antonijević, et al. 2021. “African Soil Properties and Nutrients Mapped at 30 m Spatial Resolution Using Two‑scale Ensemble Machine Learning.” Scientific Reports. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1255698018&authtype=sso&custid=ns315887.