Smart applications and digital technologies in viticulture: A review

It is important to continuously monitor the long-term impact of viticultural management practices and assess opportunities for improving the environmental footprint of vineyard operations. This is particularly relevant to the wine industry as growers face disruptive challenges caused by climate chan...

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Detalles Bibliográficos
Autores: Tardáguila, Javier, Stoll, Manfred, Gutiérrez, Salvador, Proffitt, Tony, Diago, Maria P.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/380645
Acceso en línea:http://hdl.handle.net/10261/380645
https://api.elsevier.com/content/abstract/scopus_id/85120551912
Access Level:acceso abierto
Palabra clave:Artificial intelligence
Digital viticulture
Precision viticulture
Remote and proximal sensing
Vineyard app
Vineyard monitoring
Vineyard robotics
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spelling Smart applications and digital technologies in viticulture: A reviewTardáguila, JavierStoll, ManfredGutiérrez, SalvadorProffitt, TonyDiago, Maria P.Artificial intelligenceDigital viticulturePrecision viticultureRemote and proximal sensingVineyard appVineyard monitoringVineyard roboticsIt is important to continuously monitor the long-term impact of viticultural management practices and assess opportunities for improving the environmental footprint of vineyard operations. This is particularly relevant to the wine industry as growers face disruptive challenges caused by climate change, shortages of labour and escalating production costs. In recent years there has been considerable development and testing of non-invasive digital technologies, some of which have already demonstrated an improvement in the way that wine grapes are grown, managed and harvested to produce quality wines in a manner that is both environmentally and economically sustainable. In this paper, we describe a number of sensing technologies including spectroscopy, multispectral and hyperspectral imaging, chlorophyll fluorescence, thermography, electrical resistivity, laser imaging detection and ranging, and computer vision and the platforms where they are generally mounted or embedded for either proximal or remote monitoring. Artificial intelligence is also discussed as it is useful as a means of transforming data into different pieces of information used by the grape grower for making informed decisions. A key objective of using these technologies is to obtain and supply data and information to grape growers and wine producers as a basis for improving land and vine management through a more-informed decision-making process. The current and future application of these technologies and artificial intelligence in vineyards are discussed in relation to soil properties and topography, vegetative growth, canopy architecture, nutrient and water status, pests and diseases, crop forecasting, yield and fruit composition, vineyard sampling, targeted management and selective harvesting. The principles behind how these technologies operate are also described. While the technologies have enormous potential for growers, their adoption and use will depend on user-friendly software and devices, together with affordable costs, at the field scale.Peer reviewedElsevier BVTardáguila, Javier [0000-0002-6639-8723]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_dcae04bcPublisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/380645https://api.elsevier.com/content/abstract/scopus_id/85120551912reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.atech.2021.100005Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3806452026-05-22T06:33:51Z
dc.title.none.fl_str_mv Smart applications and digital technologies in viticulture: A review
title Smart applications and digital technologies in viticulture: A review
spellingShingle Smart applications and digital technologies in viticulture: A review
Tardáguila, Javier
Artificial intelligence
Digital viticulture
Precision viticulture
Remote and proximal sensing
Vineyard app
Vineyard monitoring
Vineyard robotics
title_short Smart applications and digital technologies in viticulture: A review
title_full Smart applications and digital technologies in viticulture: A review
title_fullStr Smart applications and digital technologies in viticulture: A review
title_full_unstemmed Smart applications and digital technologies in viticulture: A review
title_sort Smart applications and digital technologies in viticulture: A review
dc.creator.none.fl_str_mv Tardáguila, Javier
Stoll, Manfred
Gutiérrez, Salvador
Proffitt, Tony
Diago, Maria P.
author Tardáguila, Javier
author_facet Tardáguila, Javier
Stoll, Manfred
Gutiérrez, Salvador
Proffitt, Tony
Diago, Maria P.
author_role author
author2 Stoll, Manfred
Gutiérrez, Salvador
Proffitt, Tony
Diago, Maria P.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Tardáguila, Javier [0000-0002-6639-8723]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Artificial intelligence
Digital viticulture
Precision viticulture
Remote and proximal sensing
Vineyard app
Vineyard monitoring
Vineyard robotics
topic Artificial intelligence
Digital viticulture
Precision viticulture
Remote and proximal sensing
Vineyard app
Vineyard monitoring
Vineyard robotics
description It is important to continuously monitor the long-term impact of viticultural management practices and assess opportunities for improving the environmental footprint of vineyard operations. This is particularly relevant to the wine industry as growers face disruptive challenges caused by climate change, shortages of labour and escalating production costs. In recent years there has been considerable development and testing of non-invasive digital technologies, some of which have already demonstrated an improvement in the way that wine grapes are grown, managed and harvested to produce quality wines in a manner that is both environmentally and economically sustainable. In this paper, we describe a number of sensing technologies including spectroscopy, multispectral and hyperspectral imaging, chlorophyll fluorescence, thermography, electrical resistivity, laser imaging detection and ranging, and computer vision and the platforms where they are generally mounted or embedded for either proximal or remote monitoring. Artificial intelligence is also discussed as it is useful as a means of transforming data into different pieces of information used by the grape grower for making informed decisions. A key objective of using these technologies is to obtain and supply data and information to grape growers and wine producers as a basis for improving land and vine management through a more-informed decision-making process. The current and future application of these technologies and artificial intelligence in vineyards are discussed in relation to soil properties and topography, vegetative growth, canopy architecture, nutrient and water status, pests and diseases, crop forecasting, yield and fruit composition, vineyard sampling, targeted management and selective harvesting. The principles behind how these technologies operate are also described. While the technologies have enormous potential for growers, their adoption and use will depend on user-friendly software and devices, together with affordable costs, at the field scale.
publishDate 2021
dc.date.none.fl_str_mv 2021
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_dcae04bc
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/380645
https://api.elsevier.com/content/abstract/scopus_id/85120551912
url http://hdl.handle.net/10261/380645
https://api.elsevier.com/content/abstract/scopus_id/85120551912
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.atech.2021.100005
Sí
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 BV
publisher.none.fl_str_mv Elsevier BV
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
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collection DIGITAL.CSIC. Repositorio Institucional del CSIC
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