FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGS
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia Agrícola |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100201 |
Resumo: | ABSTRACT Rapid cooling is necessary to remove heat from fruit; however, it directly affects the water loss of grapes under certain conditions. Fuzzy logic is an important theory for analyzing results as it simplifies the assimilation of the phenomena through refined adjustments, allowing the prediction of the weight loss of fruits in relation to rapid cooling conditions. The objective of this study was to develop a fuzzy model that could predict weight loss as a function of the rapid cooling of table grapes in different plastic film bags. Modeling was performed using three types of plastic film bags (micro-perforated, macro-perforated, and non-perforated) at three levels of palletization (lower, intermediate, and upper), arranged in an experimental design in randomized blocks, in a 3 × 3 factorial scheme, with three blocks. The influence of the relative humidity and amplitude of humidity on the variable weight loss percentage of the Arra 15 grape variety was measured. The average percentage error of the fuzzy model was 9.78%. The intermediate level alone showed an error of 4.02%. Thus, the developed fuzzy model provided a good prediction of the weight loss of table grapes. |
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Engenharia Agrícola |
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FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGSVitis vinifera L.artificial intelligencepalletization levelrelative humidityweight lossABSTRACT Rapid cooling is necessary to remove heat from fruit; however, it directly affects the water loss of grapes under certain conditions. Fuzzy logic is an important theory for analyzing results as it simplifies the assimilation of the phenomena through refined adjustments, allowing the prediction of the weight loss of fruits in relation to rapid cooling conditions. The objective of this study was to develop a fuzzy model that could predict weight loss as a function of the rapid cooling of table grapes in different plastic film bags. Modeling was performed using three types of plastic film bags (micro-perforated, macro-perforated, and non-perforated) at three levels of palletization (lower, intermediate, and upper), arranged in an experimental design in randomized blocks, in a 3 × 3 factorial scheme, with three blocks. The influence of the relative humidity and amplitude of humidity on the variable weight loss percentage of the Arra 15 grape variety was measured. The average percentage error of the fuzzy model was 9.78%. The intermediate level alone showed an error of 4.02%. Thus, the developed fuzzy model provided a good prediction of the weight loss of table grapes.Associação Brasileira de Engenharia Agrícola2022-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100201Engenharia Agrícola v.42 n.1 2022reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v42n1e20200149/2022info:eu-repo/semantics/openAccessAmorim,Magno do N.Miranda,Isadora B.Santos,Ítalo E. dos A.Lourençoni,DianTurco,Silvia H. N.eng2022-01-26T00:00:00Zoai:scielo:S0100-69162022000100201Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2022-01-26T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false |
dc.title.none.fl_str_mv |
FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGS |
title |
FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGS |
spellingShingle |
FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGS Amorim,Magno do N. Vitis vinifera L. artificial intelligence palletization level relative humidity weight loss |
title_short |
FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGS |
title_full |
FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGS |
title_fullStr |
FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGS |
title_full_unstemmed |
FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGS |
title_sort |
FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGS |
author |
Amorim,Magno do N. |
author_facet |
Amorim,Magno do N. Miranda,Isadora B. Santos,Ítalo E. dos A. Lourençoni,Dian Turco,Silvia H. N. |
author_role |
author |
author2 |
Miranda,Isadora B. Santos,Ítalo E. dos A. Lourençoni,Dian Turco,Silvia H. N. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Amorim,Magno do N. Miranda,Isadora B. Santos,Ítalo E. dos A. Lourençoni,Dian Turco,Silvia H. N. |
dc.subject.por.fl_str_mv |
Vitis vinifera L. artificial intelligence palletization level relative humidity weight loss |
topic |
Vitis vinifera L. artificial intelligence palletization level relative humidity weight loss |
description |
ABSTRACT Rapid cooling is necessary to remove heat from fruit; however, it directly affects the water loss of grapes under certain conditions. Fuzzy logic is an important theory for analyzing results as it simplifies the assimilation of the phenomena through refined adjustments, allowing the prediction of the weight loss of fruits in relation to rapid cooling conditions. The objective of this study was to develop a fuzzy model that could predict weight loss as a function of the rapid cooling of table grapes in different plastic film bags. Modeling was performed using three types of plastic film bags (micro-perforated, macro-perforated, and non-perforated) at three levels of palletization (lower, intermediate, and upper), arranged in an experimental design in randomized blocks, in a 3 × 3 factorial scheme, with three blocks. The influence of the relative humidity and amplitude of humidity on the variable weight loss percentage of the Arra 15 grape variety was measured. The average percentage error of the fuzzy model was 9.78%. The intermediate level alone showed an error of 4.02%. Thus, the developed fuzzy model provided a good prediction of the weight loss of table grapes. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100201 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100201 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1809-4430-eng.agric.v42n1e20200149/2022 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
dc.source.none.fl_str_mv |
Engenharia Agrícola v.42 n.1 2022 reponame:Engenharia Agrícola instname:Associação Brasileira de Engenharia Agrícola (SBEA) instacron:SBEA |
instname_str |
Associação Brasileira de Engenharia Agrícola (SBEA) |
instacron_str |
SBEA |
institution |
SBEA |
reponame_str |
Engenharia Agrícola |
collection |
Engenharia Agrícola |
repository.name.fl_str_mv |
Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA) |
repository.mail.fl_str_mv |
revistasbea@sbea.org.br||sbea@sbea.org.br |
_version_ |
1752126275285155840 |