Determining agricultural drought for spring wheat with statistical models in a semi-arid climate

Zhao, F Lei, J Wang, R Wang, H Zhang, K Yu, Q

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Field	Value	Language
dc.contributor.author	Zhao, F
dc.contributor.author	Lei, J
dc.contributor.author	Wang, R
dc.contributor.author	Wang, H
dc.contributor.author	Zhang, K
dc.contributor.author	Yu, Q https://orcid.org/0000-0001-6950-1821
dc.date.accessioned	2022-03-21T00:38:20Z
dc.date.available	2022-03-21T00:38:20Z
dc.date.issued	2018-10-01
dc.identifier.citation	JOURNAL OF AGRICULTURAL METEOROLOGY, 2018, 74, (4), pp. 162-172
dc.identifier.issn	0021-8588
dc.identifier.issn	1881-0136
dc.identifier.uri	http://hdl.handle.net/10453/155401
dc.language	English
dc.publisher	SOC AGRICULTURAL METEOROLOGY JAPAN
dc.relation.ispartof	JOURNAL OF AGRICULTURAL METEOROLOGY
dc.relation.isbasedon	10.2480/agrmet.D-18-00011
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Determining agricultural drought for spring wheat with statistical models in a semi-arid climate
dc.type	Journal Article
utslib.citation.volume	74
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access	*
dc.date.updated	2022-03-21T00:38:18Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	74
utslib.citation.issue	4

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