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
dc.citation.volume | 14 | |
dc.contributor.author | Wei H-E | |
dc.contributor.author | Grafton MC | |
dc.contributor.author | Bretherton M | |
dc.contributor.author | Irwin M | |
dc.contributor.author | Sandoval E | |
dc.contributor.editor | Mouazen, AM | |
dc.date.available | 23/11/2022 | |
dc.date.issued | 23/11/2022 | |
dc.description | (c) The Author/s | |
dc.description.confidential | FALSE | |
dc.format.extent | ? - ? (23) | |
dc.identifier | 5918 | |
dc.identifier.citation | Remote Sensing, 2022, 14 pp. ? - ? (23) | |
dc.identifier.elements-id | 458116 | |
dc.identifier.harvested | Massey_Dark | |
dc.identifier.issn | 2072-4292 | |
dc.identifier.uri | https://hdl.handle.net/10179/17830 | |
dc.publisher | MDPI AG | |
dc.relation.isPartOf | Remote Sensing | |
dc.subject | Multispectral UAV | |
dc.subject | day of the year | |
dc.subject | elevation | |
dc.subject | apparent electrical conductivity | |
dc.subject | slope | |
dc.subject | weather parameter | |
dc.subject | elastic net | |
dc.subject | random forest regression | |
dc.subject | support vector regression | |
dc.subject.anzsrc | 0203 Classical Physics | |
dc.subject.anzsrc | 0406 Physical Geography and Environmental Geoscience | |
dc.subject.anzsrc | 0909 Geomatic Engineering | |
dc.title | 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 | |
dc.type | Journal article | |
pubs.notes | Not 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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