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eNauka >  Results >  African soil properties and nutrients mapped at 30 m spatial resolution using two‑scale ensemble machine learning
Title: African soil properties and nutrients mapped at 30 m spatial resolution using two‑scale ensemble machine learning
Authors: Hengl, Tomislav; Miller, Matthew A. E.; Križan, Josip; Shepherd, Keith D.; Sila, Andrew; Kilibarda, Milan  ; Antonijević, Ognjen  ; Glušica, Luka; Dobermann, Achim; Haefele, Stephan M.;
McGrath, Steve P.; Acquah, Gifty E.; Collinson, Jamie; Parente, Leandro; Sheykhmousa, Mohammadreza; Saito, Kazuki; Johnson, Jean‑Martial; Chamberlin, Jordan; Silatsa, Francis B. T.; Yemefack, Martin; Wendt, John; MacMillan, Robert A.; Wheeler, Ichsani; Crouch, Jonathan;
Issue Date: 2021
Publication: Scientific Reports
ISSN: 2045-2322 Scientific Reports Search Idenfier
Type: Article
Collation: vol. 11 br. 1 str. 6130 (2021)
DOI : 10.1038/s41598-021-85639-y
WoS-ID : 000630510200007
Scopus-ID : 2-s2.0-85102749747
URI: https://grafar.grf.bg.ac.rs/handle/123456789/2362
https://enauka.gov.rs/handle/123456789/1051131
M-category: 
21aM21a

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