Potential of using tatistical quality control in agriculture 4.0

Detalhes bibliográficos
Autor(a) principal: da Silva, Rouverson Pereira [UNESP]
Data de Publicação: 2020
Outros Autores: dos Santos, Adão Felipe, de Oliveira, Bruno Rocca [UNESP], Souza, Jarlyson Brunno Costa, de Oliveira, Danilo Tedesco, Carneiro, Franciele Morlin
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5935/1806-6690.20200105
http://hdl.handle.net/11449/208399
Resumo: Agriculture 4.0 involves the incorporation of information and communication technologies into machines, equipment, and sensors for use in agricultural production systems. It aims to ease decision-making in agricultural processes. Statistical Quality Control (SQC) is a statistical method with several techniques and tools used to analyze the variability. These tools can be used to provide important information for decision making, including for mechanized agricultural operations. This paper aimed to characterize the worldwide scientific literature on Statistical Process Control use in mechanized agricultural processes, demonstrating its potential to be incorporated into Agriculture 4.0. Our research involved a bibliometric survey on Scopus and Academic Google databases. The analyzed studies allowed us to infer that SQC tools may improve understanding of mechanized operations and be used in Agriculture 4.0. Such features can also streamline and enhance decision making, converting big data into useful information.
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spelling Potential of using tatistical quality control in agriculture 4.0Potencial de uso do controle estatístico de qualidade na agricultura 4.0Agricultura digitalControle Estatístico de ProcessoDigital agricultureFerramentas de qualidadeIndicadores de qualidadeQuality indicatorsQuality toolsStatistical process controlAgriculture 4.0 involves the incorporation of information and communication technologies into machines, equipment, and sensors for use in agricultural production systems. It aims to ease decision-making in agricultural processes. Statistical Quality Control (SQC) is a statistical method with several techniques and tools used to analyze the variability. These tools can be used to provide important information for decision making, including for mechanized agricultural operations. This paper aimed to characterize the worldwide scientific literature on Statistical Process Control use in mechanized agricultural processes, demonstrating its potential to be incorporated into Agriculture 4.0. Our research involved a bibliometric survey on Scopus and Academic Google databases. The analyzed studies allowed us to infer that SQC tools may improve understanding of mechanized operations and be used in Agriculture 4.0. Such features can also streamline and enhance decision making, converting big data into useful information.Departamento de Engenharia e Ciências Exatas Universidade Estadual Paulista/UNESPDepartamento de Agricultura Universidade Federal de Lavras/UFVAlabama Precision Agriculture Laboratory Auburn UniversityDepartamento de Engenharia e Ciências Exatas Universidade Estadual Paulista/UNESPUniversidade Estadual Paulista (Unesp)Universidade Federal de Viçosa (UFV)Auburn Universityda Silva, Rouverson Pereira [UNESP]dos Santos, Adão Felipede Oliveira, Bruno Rocca [UNESP]Souza, Jarlyson Brunno Costade Oliveira, Danilo TedescoCarneiro, Franciele Morlin2021-06-25T11:11:32Z2021-06-25T11:11:32Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-15http://dx.doi.org/10.5935/1806-6690.20200105Revista Ciencia Agronomica, v. 51, n. 5, p. 1-15, 2020.1806-66900045-6888http://hdl.handle.net/11449/20839910.5935/1806-6690.202001052-s2.0-85100719576Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Ciencia Agronomicainfo:eu-repo/semantics/openAccess2024-06-06T15:18:30Zoai:repositorio.unesp.br:11449/208399Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:09:45.716351Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Potential of using tatistical quality control in agriculture 4.0
Potencial de uso do controle estatístico de qualidade na agricultura 4.0
title Potential of using tatistical quality control in agriculture 4.0
spellingShingle Potential of using tatistical quality control in agriculture 4.0
da Silva, Rouverson Pereira [UNESP]
Agricultura digital
Controle Estatístico de Processo
Digital agriculture
Ferramentas de qualidade
Indicadores de qualidade
Quality indicators
Quality tools
Statistical process control
title_short Potential of using tatistical quality control in agriculture 4.0
title_full Potential of using tatistical quality control in agriculture 4.0
title_fullStr Potential of using tatistical quality control in agriculture 4.0
title_full_unstemmed Potential of using tatistical quality control in agriculture 4.0
title_sort Potential of using tatistical quality control in agriculture 4.0
author da Silva, Rouverson Pereira [UNESP]
author_facet da Silva, Rouverson Pereira [UNESP]
dos Santos, Adão Felipe
de Oliveira, Bruno Rocca [UNESP]
Souza, Jarlyson Brunno Costa
de Oliveira, Danilo Tedesco
Carneiro, Franciele Morlin
author_role author
author2 dos Santos, Adão Felipe
de Oliveira, Bruno Rocca [UNESP]
Souza, Jarlyson Brunno Costa
de Oliveira, Danilo Tedesco
Carneiro, Franciele Morlin
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de Viçosa (UFV)
Auburn University
dc.contributor.author.fl_str_mv da Silva, Rouverson Pereira [UNESP]
dos Santos, Adão Felipe
de Oliveira, Bruno Rocca [UNESP]
Souza, Jarlyson Brunno Costa
de Oliveira, Danilo Tedesco
Carneiro, Franciele Morlin
dc.subject.por.fl_str_mv Agricultura digital
Controle Estatístico de Processo
Digital agriculture
Ferramentas de qualidade
Indicadores de qualidade
Quality indicators
Quality tools
Statistical process control
topic Agricultura digital
Controle Estatístico de Processo
Digital agriculture
Ferramentas de qualidade
Indicadores de qualidade
Quality indicators
Quality tools
Statistical process control
description Agriculture 4.0 involves the incorporation of information and communication technologies into machines, equipment, and sensors for use in agricultural production systems. It aims to ease decision-making in agricultural processes. Statistical Quality Control (SQC) is a statistical method with several techniques and tools used to analyze the variability. These tools can be used to provide important information for decision making, including for mechanized agricultural operations. This paper aimed to characterize the worldwide scientific literature on Statistical Process Control use in mechanized agricultural processes, demonstrating its potential to be incorporated into Agriculture 4.0. Our research involved a bibliometric survey on Scopus and Academic Google databases. The analyzed studies allowed us to infer that SQC tools may improve understanding of mechanized operations and be used in Agriculture 4.0. Such features can also streamline and enhance decision making, converting big data into useful information.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
2021-06-25T11:11:32Z
2021-06-25T11:11:32Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5935/1806-6690.20200105
Revista Ciencia Agronomica, v. 51, n. 5, p. 1-15, 2020.
1806-6690
0045-6888
http://hdl.handle.net/11449/208399
10.5935/1806-6690.20200105
2-s2.0-85100719576
url http://dx.doi.org/10.5935/1806-6690.20200105
http://hdl.handle.net/11449/208399
identifier_str_mv Revista Ciencia Agronomica, v. 51, n. 5, p. 1-15, 2020.
1806-6690
0045-6888
10.5935/1806-6690.20200105
2-s2.0-85100719576
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Revista Ciencia Agronomica
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-15
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129167329329152

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