Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad Politécnica de Madrid |
| Repositorio: | Archivo Digital UPM |
| OAI Identifier: | oai:oa.upm.es:66811 |
| Acceso en línea: | https://oa.upm.es/66811/ |
| Access Level: | acceso abierto |
| Palabra clave: | grape peach dry matter total soluble solids NIR spectroscopy partial least-square regressio |
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Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality AttributesDonis-González, Irwin R.Valero Ubierna, Constantino|||0000-0003-4473-3209Momin, Md AbdulKaur, AmanjotSlaugther, Davidgrapepeachdry mattertotal soluble solidsNIR spectroscopypartial least-square regressio20202020-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/66811/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:668112026-06-21T12:45:07Z |
| dc.title.none.fl_str_mv |
Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes |
| title |
Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes |
| spellingShingle |
Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes Donis-González, Irwin R. grape peach dry matter total soluble solids NIR spectroscopy partial least-square regressio |
| title_short |
Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes |
| title_full |
Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes |
| title_fullStr |
Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes |
| title_full_unstemmed |
Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes |
| title_sort |
Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes |
| dc.creator.none.fl_str_mv |
Donis-González, Irwin R. Valero Ubierna, Constantino|||0000-0003-4473-3209 Momin, Md Abdul Kaur, Amanjot Slaugther, David |
| author |
Donis-González, Irwin R. |
| author_facet |
Donis-González, Irwin R. Valero Ubierna, Constantino|||0000-0003-4473-3209 Momin, Md Abdul Kaur, Amanjot Slaugther, David |
| author_role |
author |
| author2 |
Valero Ubierna, Constantino|||0000-0003-4473-3209 Momin, Md Abdul Kaur, Amanjot Slaugther, David |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
grape peach dry matter total soluble solids NIR spectroscopy partial least-square regressio |
| topic |
grape peach dry matter total soluble solids NIR spectroscopy partial least-square regressio |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2020-01-01 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
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article |
| dc.identifier.none.fl_str_mv |
https://oa.upm.es/66811/ |
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https://oa.upm.es/66811/ |
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Inglés en |
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Inglés en |
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open access http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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reponame:Archivo Digital UPM instname:Universidad Politécnica de Madrid |
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Universidad Politécnica de Madrid |
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Archivo Digital UPM |
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Archivo Digital UPM |
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15,300719 |