Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming

[EN] Big data is a concept that has changed the way to analyse data and information in different environments such as industry and recently, in agriculture. It is used to describe a large volume of data (structured or unstructured data), which are difficult to obtain, process or parse using conventi...

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Detalhes bibliográficos
Autores: Rodríguez-Sánchez, María De Los Ángeles, Cuenca, L.|||0000-0003-3589-4182, Ortiz Bas, Ángel|||0000-0001-5690-0807
Formato: artículo
Fecha de publicación:2019
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/157502
Acesso em linha:https://riunet.upv.es/handle/10251/157502
Access Level:acceso abierto
Palavra-chave:Big data
Smart farming
Precision agriculture
ORGANIZACION DE EMPRESAS
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spelling Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart FarmingRodríguez-Sánchez, María De Los ÁngelesCuenca, L.|||0000-0003-3589-4182Ortiz Bas, Ángel|||0000-0001-5690-0807Big dataSmart farmingPrecision agricultureORGANIZACION DE EMPRESAS[EN] Big data is a concept that has changed the way to analyse data and information in different environments such as industry and recently, in agriculture. It is used to describe a large volume of data (structured or unstructured data), which are difficult to obtain, process or parse using conventional technologies and tools like relational databases or conventional statistics, in a reasonable time for their insight. However, Big Data is applied differently in each area to take advantage of its potential and capabilities. Specially in agriculture that presents more demanding conditions due to its inherent uncertainty, so Big Data methods and models from other environments cannot be used straight away in this area. In this paper, we present a review/update of term Big Data and analyse the evolution and the role of Big Data in agriculture outlined the element of collaboration.All authors acknowledge the partial support of Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems, funded by the EU under its funding scheme H2020-MSCA-RISE-2015; and the project "Development of an integrated maturity model for agility, resilience and gender perspective in supply chains (MoMARGE). Application to the agricultural sector." Ref. GV/2017/025 funded by the Generalitat Valenciana. This first author was supported by the Aid Programme of Research and Development of Universitat Politecnica de Valencia [PAID-01-18].SpringerDepartamento de Organización de EmpresasCentro de Investigación en Gestión e Ingeniería de ProducciónEscuela Técnica Superior de Ingeniería IndustrialEscuela Técnica Superior de Ingeniería InformáticaGeneralitat ValencianaUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20192019-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/157502reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengEuropean Commission https://doi.org/10.13039/501100000780 H2020 691249 Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production SystemsUniversitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-01-18Generalitat Valenciana https://doi.org/10.13039/501100003359 GV%2F2017%2F025open accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1575022026-06-13T07:49:27Z
dc.title.none.fl_str_mv Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming
title Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming
spellingShingle Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming
Rodríguez-Sánchez, María De Los Ángeles
Big data
Smart farming
Precision agriculture
ORGANIZACION DE EMPRESAS
title_short Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming
title_full Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming
title_fullStr Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming
title_full_unstemmed Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming
title_sort Big Data Transformation in Agriculture: From Precision Agriculture Towards Smart Farming
dc.creator.none.fl_str_mv Rodríguez-Sánchez, María De Los Ángeles
Cuenca, L.|||0000-0003-3589-4182
Ortiz Bas, Ángel|||0000-0001-5690-0807
author Rodríguez-Sánchez, María De Los Ángeles
author_facet Rodríguez-Sánchez, María De Los Ángeles
Cuenca, L.|||0000-0003-3589-4182
Ortiz Bas, Ángel|||0000-0001-5690-0807
author_role author
author2 Cuenca, L.|||0000-0003-3589-4182
Ortiz Bas, Ángel|||0000-0001-5690-0807
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Organización de Empresas
Centro de Investigación en Gestión e Ingeniería de Producción
Escuela Técnica Superior de Ingeniería Industrial
Escuela Técnica Superior de Ingeniería Informática
Generalitat Valenciana
Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Big data
Smart farming
Precision agriculture
ORGANIZACION DE EMPRESAS
topic Big data
Smart farming
Precision agriculture
ORGANIZACION DE EMPRESAS
description [EN] Big data is a concept that has changed the way to analyse data and information in different environments such as industry and recently, in agriculture. It is used to describe a large volume of data (structured or unstructured data), which are difficult to obtain, process or parse using conventional technologies and tools like relational databases or conventional statistics, in a reasonable time for their insight. However, Big Data is applied differently in each area to take advantage of its potential and capabilities. Specially in agriculture that presents more demanding conditions due to its inherent uncertainty, so Big Data methods and models from other environments cannot be used straight away in this area. In this paper, we present a review/update of term Big Data and analyse the evolution and the role of Big Data in agriculture outlined the element of collaboration.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/157502
url https://riunet.upv.es/handle/10251/157502
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission https://doi.org/10.13039/501100000780 H2020 691249 Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems
Universitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-01-18
Generalitat Valenciana https://doi.org/10.13039/501100003359 GV%2F2017%2F025
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301629

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