Predicting agricultural soil carbon using machine learning

Nguyen, TT

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Field	Value	Language
dc.contributor.author	Nguyen, TT
dc.date.accessioned	2022-05-24T04:40:39Z
dc.date.available	2022-05-24T04:40:39Z
dc.date.issued	2021-12-01
dc.identifier.citation	Nature Reviews Earth and Environment, 2021, 2, (12), pp. 825
dc.identifier.issn	2662-138X
dc.identifier.issn	2662-138X
dc.identifier.uri	http://hdl.handle.net/10453/157667
dc.language	en
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	Nature Reviews Earth and Environment
dc.relation.isbasedon	10.1038/s43017-021-00243-y
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Predicting agricultural soil carbon using machine learning
dc.type	Journal Article
utslib.citation.volume	2
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-05-24T04:40:38Z
pubs.issue	12
pubs.publication-status	Published
pubs.volume	2
utslib.citation.issue	12

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