On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks

Detalles Bibliográficos
Autores: Zanchin, Alessandro, Hernández, Inés [0000-0003-3093-8238], Íñiguez, Rubén [0000-0001-6422-9515], Sozzi, Marco, Tomasi, Diego, Marinello, Francesco, Tardaguila, Javier [0000-0002-6639-8723]
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universidad de La Rioja (UR)
Repositorio:RIUR. Repositorio Institucional de la Universidad de La Rioja
OAI Identifier:oai:portal.dialnet.es:doc/675f925460134444f31211be
Acceso en línea:https://investigacion.unirioja.es/documentos/675f925460134444f31211be
Access Level:acceso abierto
Palabra clave:Deep learning
Precision viticulture
Proximal sensing
Trunk's diameter estimation
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spelling On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networksZanchin, AlessandroHernández, Inés [0000-0003-3093-8238]Íñiguez, Rubén [0000-0001-6422-9515]Sozzi, MarcoTomasi, DiegoMarinello, FrancescoTardaguila, Javier [0000-0002-6639-8723]Deep learningPrecision viticultureProximal sensingTrunk's diameter estimationElsevier B.V.2025info:eu-repo/semantics/articleSubtype: Articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://investigacion.unirioja.es/documentos/675f925460134444f31211bereponame:RIUR. Repositorio Institucional de la Universidad de La Riojainstname:Universidad de La Rioja (UR)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1016/J.COMPAG.2024.109664info:eu-repo/semantics/altIdentifier/pissn/0168-1699On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks, 2025, vol. 229info:eu-repo/semantics/openAccessoai:portal.dialnet.es:doc/675f925460134444f31211be2026-06-14T12:47:17Z
dc.title.none.fl_str_mv On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks
title On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks
spellingShingle On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks
Zanchin, Alessandro
Deep learning
Precision viticulture
Proximal sensing
Trunk's diameter estimation
title_short On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks
title_full On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks
title_fullStr On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks
title_full_unstemmed On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks
title_sort On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks
dc.creator.none.fl_str_mv Zanchin, Alessandro
Hernández, Inés [0000-0003-3093-8238]
Íñiguez, Rubén [0000-0001-6422-9515]
Sozzi, Marco
Tomasi, Diego
Marinello, Francesco
Tardaguila, Javier [0000-0002-6639-8723]
author Zanchin, Alessandro
author_facet Zanchin, Alessandro
Hernández, Inés [0000-0003-3093-8238]
Íñiguez, Rubén [0000-0001-6422-9515]
Sozzi, Marco
Tomasi, Diego
Marinello, Francesco
Tardaguila, Javier [0000-0002-6639-8723]
author_role author
author2 Hernández, Inés [0000-0003-3093-8238]
Íñiguez, Rubén [0000-0001-6422-9515]
Sozzi, Marco
Tomasi, Diego
Marinello, Francesco
Tardaguila, Javier [0000-0002-6639-8723]
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Deep learning
Precision viticulture
Proximal sensing
Trunk's diameter estimation
topic Deep learning
Precision viticulture
Proximal sensing
Trunk's diameter estimation
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
Subtype: Article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://investigacion.unirioja.es/documentos/675f925460134444f31211be
url https://investigacion.unirioja.es/documentos/675f925460134444f31211be
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/J.COMPAG.2024.109664
info:eu-repo/semantics/altIdentifier/pissn/0168-1699
On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks, 2025, vol. 229
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv reponame:RIUR. Repositorio Institucional de la Universidad de La Rioja
instname:Universidad de La Rioja (UR)
instname_str Universidad de La Rioja (UR)
reponame_str RIUR. Repositorio Institucional de la Universidad de La Rioja
collection RIUR. Repositorio Institucional de la Universidad de La Rioja
repository.name.fl_str_mv
repository.mail.fl_str_mv
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