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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: Tomislav Hengl; Matthew A. E. Miller; Josip Križan; Keith D. Shepherd; Andrew Sila; Milan Kilibarda  ; Ognjen Antonijević  ; Luka Glušica; Achim Dobermann; Stephan M. Haefele;
Steve P. McGrath; Gifty E. Acquah; Jamie Collinson; Leandro Parente; Mohammadreza Sheykhmousa; Kazuki Saito; Jean-Martial Johnson; Jordan Chamberlin; Francis B. T. Silatsa; Martin Yemefack; John Wendt; Robert A. MacMillan; Ichsani Wheeler; Jonathan Crouch;
Issue Date: 2021
Publication: Scientific Reports
ISSN: 2045-2322 Scientific Reports Search Idenfier
Publisher: Springer Science and Business Media {LLC}
Type: Article
Collation: vol. 11 br. 1
DOI: 10.1038/s41598-021-85639-y
WoS-ID: 000630510200007
Scopus-ID: 2-s2.0-85102749747
PMID: 33731749
PMCID: PMC7969779
URI: https://enauka.gov.rs/handle/123456789/768608
Metadata source: (Preuzeto iz ORCID-a) Antonijević, Ognjen
M-category: 
21aM21a

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