Statistical process control applied to airblast sprayer on a coffee crop

Detalhes bibliográficos
Autor(a) principal: Ribeiro da Silva, João Eduardo
Data de Publicação: 2016
Outros Autores: Arantes Rodrigues da Cunha, João Paulo, Siqueira Schroden Nomelini, Quintiliano
Tipo de documento: Artigo
Idioma: por
Título da fonte: Coffee Science (Online)
Texto Completo: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/951
Resumo: The objective of this work was to study the quality and variability, from a statistical process control point of view, of the deposition on coffee crop leaves and the loss to the soil promoted by pulverization with an air-blast sprayer using different application volumes and droplet sizes. The experiment was carried out in Arabica coffee crop using the 2x2 factorial design and eight replicates, with the factors being the droplet sizes generated by two types of nozzles (hollow cone - ATR - which produced fine droplets, and hollow cone with air induction - TVI - which produced extremely large drops) and spray application volumes (200 and 500 L ha-1). Brilliant Blue tracer was used to quantify by spectrophotometry the spray deposits on the leaves of the top and bottom halves of the plant and on the ground targets. The statistical quality of sprays was evaluated using statistical process control. Control charts show that there is no detectable patterns of non-randomness within treatments, ensuring the good quality of the pulverizations in the coffee crop. The spraying using the volume of 500 L ha-1 provides flexibility in the choice of hydraulic nozzle, keeping quality and low variability of deposition in the coffee leaves.
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spelling Statistical process control applied to airblast sprayer on a coffee cropControle estatístico de processo em pulverização hidropneumática na cultura do caféControl chartsCoffea arabicaboom-sprayerapplication technologycartas de controleCoffea arabicaturbo-atomizadortecnologia de aplicaçãoThe objective of this work was to study the quality and variability, from a statistical process control point of view, of the deposition on coffee crop leaves and the loss to the soil promoted by pulverization with an air-blast sprayer using different application volumes and droplet sizes. The experiment was carried out in Arabica coffee crop using the 2x2 factorial design and eight replicates, with the factors being the droplet sizes generated by two types of nozzles (hollow cone - ATR - which produced fine droplets, and hollow cone with air induction - TVI - which produced extremely large drops) and spray application volumes (200 and 500 L ha-1). Brilliant Blue tracer was used to quantify by spectrophotometry the spray deposits on the leaves of the top and bottom halves of the plant and on the ground targets. The statistical quality of sprays was evaluated using statistical process control. Control charts show that there is no detectable patterns of non-randomness within treatments, ensuring the good quality of the pulverizations in the coffee crop. The spraying using the volume of 500 L ha-1 provides flexibility in the choice of hydraulic nozzle, keeping quality and low variability of deposition in the coffee leaves.Objetivou-se, com este trabalho, estudar a qualidade e a variabilidade, do ponto de vista do controle estatístico de processo, da deposição de calda pulverizada em folhas de cafeeiro e da perda para o solo, promovida pela aplicação com pulverizador hidropneumático, empregando diferentes volumes de calda e tamanhos de gotas. O experimento foi conduzido em café arábica no esquema fatorial 2x2, com oito repetições, sendo os fatores tamanhos de gotas (jato cônico vazio – ATR - que produziu gotas finas; e jato cônico vazio com indução de ar – TVI – que produziu gotas extremamente grossas) e volumes de calda (200 e 500 L ha-1). Utilizou-se o traçador Azul Brilhante para quantificar por espectrofotometria os depósitos de calda nas folhas da parte superior e inferior e em lâminas de vidro localizadas no solo. Avaliou-se a qualidade estatística das pulverizações, utilizando-se controle estatístico de processo. As cartas de controle mostram que não se detectam padrões de não aleatoriedade dentro dos tratamentos, assegurando a boa qualidade das aplicações realizadas na cultura do café. A aplicação utilizando o volume de 500 L ha-1 proporciona flexibilidade na escolha da ponta hidráulica, mantendo qualidade e baixa variabilidade de deposição nas folhas do cafeeiro.Editora UFLA2016-03-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/zipapplication/ziphttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/951Coffee Science - ISSN 1984-3909; Vol. 11 No. 1 (2016); 11 - 21Coffee Science; Vol. 11 Núm. 1 (2016); 11 - 21Coffee Science; v. 11 n. 1 (2016); 11 - 211984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/951/pdf_2https://coffeescience.ufla.br/index.php/Coffeescience/article/view/951/1481https://coffeescience.ufla.br/index.php/Coffeescience/article/view/951/1482Copyright (c) 2016 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessRibeiro da Silva, João EduardoArantes Rodrigues da Cunha, João PauloSiqueira Schroden Nomelini, Quintiliano2016-03-23T02:36:31Zoai:coffeescience.ufla.br:article/951Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:53:53.643422Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Statistical process control applied to airblast sprayer on a coffee crop
Controle estatístico de processo em pulverização hidropneumática na cultura do café
title Statistical process control applied to airblast sprayer on a coffee crop
spellingShingle Statistical process control applied to airblast sprayer on a coffee crop
Ribeiro da Silva, João Eduardo
Control charts
Coffea arabica
boom-sprayer
application technology
cartas de controle
Coffea arabica
turbo-atomizador
tecnologia de aplicação
title_short Statistical process control applied to airblast sprayer on a coffee crop
title_full Statistical process control applied to airblast sprayer on a coffee crop
title_fullStr Statistical process control applied to airblast sprayer on a coffee crop
title_full_unstemmed Statistical process control applied to airblast sprayer on a coffee crop
title_sort Statistical process control applied to airblast sprayer on a coffee crop
author Ribeiro da Silva, João Eduardo
author_facet Ribeiro da Silva, João Eduardo
Arantes Rodrigues da Cunha, João Paulo
Siqueira Schroden Nomelini, Quintiliano
author_role author
author2 Arantes Rodrigues da Cunha, João Paulo
Siqueira Schroden Nomelini, Quintiliano
author2_role author
author
dc.contributor.author.fl_str_mv Ribeiro da Silva, João Eduardo
Arantes Rodrigues da Cunha, João Paulo
Siqueira Schroden Nomelini, Quintiliano
dc.subject.por.fl_str_mv Control charts
Coffea arabica
boom-sprayer
application technology
cartas de controle
Coffea arabica
turbo-atomizador
tecnologia de aplicação
topic Control charts
Coffea arabica
boom-sprayer
application technology
cartas de controle
Coffea arabica
turbo-atomizador
tecnologia de aplicação
description The objective of this work was to study the quality and variability, from a statistical process control point of view, of the deposition on coffee crop leaves and the loss to the soil promoted by pulverization with an air-blast sprayer using different application volumes and droplet sizes. The experiment was carried out in Arabica coffee crop using the 2x2 factorial design and eight replicates, with the factors being the droplet sizes generated by two types of nozzles (hollow cone - ATR - which produced fine droplets, and hollow cone with air induction - TVI - which produced extremely large drops) and spray application volumes (200 and 500 L ha-1). Brilliant Blue tracer was used to quantify by spectrophotometry the spray deposits on the leaves of the top and bottom halves of the plant and on the ground targets. The statistical quality of sprays was evaluated using statistical process control. Control charts show that there is no detectable patterns of non-randomness within treatments, ensuring the good quality of the pulverizations in the coffee crop. The spraying using the volume of 500 L ha-1 provides flexibility in the choice of hydraulic nozzle, keeping quality and low variability of deposition in the coffee leaves.
publishDate 2016
dc.date.none.fl_str_mv 2016-03-22
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/951
url https://coffeescience.ufla.br/index.php/Coffeescience/article/view/951
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/951/pdf_2
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/951/1481
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/951/1482
dc.rights.driver.fl_str_mv Copyright (c) 2016 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/zip
application/zip
dc.publisher.none.fl_str_mv Editora UFLA
publisher.none.fl_str_mv Editora UFLA
dc.source.none.fl_str_mv Coffee Science - ISSN 1984-3909; Vol. 11 No. 1 (2016); 11 - 21
Coffee Science; Vol. 11 Núm. 1 (2016); 11 - 21
Coffee Science; v. 11 n. 1 (2016); 11 - 21
1984-3909
reponame:Coffee Science (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Coffee Science (Online)
collection Coffee Science (Online)
repository.name.fl_str_mv Coffee Science (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com
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