Evaluation of the Use of UAV-Derived Vegetation Indices and Environmental Variables for Grapevine Water Status Monitoring Based on Machine Learning Algorithms and SHAP Analysis

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dc.citation.volume14
dc.contributor.authorWei H-E
dc.contributor.authorGrafton MC
dc.contributor.authorBretherton M
dc.contributor.authorIrwin M
dc.contributor.authorSandoval E
dc.contributor.editorMouazen, AM
dc.date.available2022-11-23
dc.date.issued2022-11-23
dc.description(c) The Author/s
dc.description.confidentialfalse
dc.format.extent? - ? (23)
dc.identifier5918
dc.identifier.citationRemote Sensing, 2022, 14 pp. ? - ? (23)
dc.identifier.elements-id458116
dc.identifier.harvestedMassey_Dark
dc.identifier.issn2072-4292
dc.publisherMDPI AG
dc.relation.isPartOfRemote Sensing
dc.rightsCC BY
dc.subjectMultispectral UAV
dc.subjectday of the year
dc.subjectelevation
dc.subjectapparent electrical conductivity
dc.subjectslope
dc.subjectweather parameter
dc.subjectelastic net
dc.subjectrandom forest regression
dc.subjectsupport vector regression
dc.subject.anzsrc0203 Classical Physics
dc.subject.anzsrc0406 Physical Geography and Environmental Geoscience
dc.subject.anzsrc0909 Geomatic Engineering
dc.titleEvaluation of the Use of UAV-Derived Vegetation Indices and Environmental Variables for Grapevine Water Status Monitoring Based on Machine Learning Algorithms and SHAP Analysis
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Agriculture & Environment
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