Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/114488
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dc.contributor.authorSoriano-Disla, J.-
dc.contributor.authorJanik, L.-
dc.contributor.authorAllen, D.-
dc.contributor.authorMcLaughlin, M.-
dc.date.issued2017-
dc.identifier.citationBiosystems Engineering, 2017; 161:24-36-
dc.identifier.issn1537-5110-
dc.identifier.issn1537-5129-
dc.identifier.urihttp://hdl.handle.net/2440/114488-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityJosé M. Soriano-Disla, Leslie J. Janik, Danielle J. Allen, Michael J. McLaughlin-
dc.language.isoen-
dc.publisherElsevier-
dc.rightsCrown Copyright © 2017 Published by Elsevier Ltd on behalf of IAgrE. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.biosystemseng.2017.06.017-
dc.subjectMid-infrared; near-infrared; partial least squares regression; portable; soil; spectroscopy-
dc.titleEvaluation of the performance of portable visible-infrared instruments for the prediction of soil properties-
dc.typeJournal article-
dc.identifier.doi10.1016/j.biosystemseng.2017.06.017-
pubs.publication-statusPublished-
dc.identifier.orcidAllen, D. [0000-0001-8522-0085]-
dc.identifier.orcidMcLaughlin, M. [0000-0001-6796-4144]-
Appears in Collections:Agriculture, Food and Wine publications
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