Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision

Detalhes bibliográficos
Autor(a) principal: Szesz Junior,Albino
Data de Publicação: 2016
Outros Autores: Monteiro Junior,Marcos, Dias,Ariangelo Hauer, Mathias,Ivo Mário, Conti,Giuvane
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016001101917
Resumo: ABSTRACT: Aeration is currently the most commonly used technique to improve the drying and storage of grain, depending on temperature and water content of the grain, as of the temperature and relative humidity of the outside air. In order to monitor temperature and humidity of the grain mass, it is possible to have a network of sensors in the cells of both internal and external storage. Use of artificial intelligence through Fuzzy theory, has been used since the 60s and enables their application on various forms. Thus, it is observed that the aeration of grain in function of representing a system of controlled environment can be studied in relation to the application of this theory. Therefore, the aim of this paper is to present an embedded Fuzzy control system based on the mathematical model of CRUZ et al. (2002) and applied to the Arduino platform, for decision support in aeration of grain. For this, an embedded Arduino system was developed, which received the environmental values of temperature and humidity to then be processed in a Fuzzy controller and return the output as a recommendation to control the aeration process rationally. Comparing the results obtained from the graph presented by LASSERAN (1981) it was observed that the system is effective.
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spelling Embedded system in Arduino platform with Fuzzy control to support the grain aeration decisionarduinoagriculturemathematical modelFuzzy logicgrain aerationABSTRACT: Aeration is currently the most commonly used technique to improve the drying and storage of grain, depending on temperature and water content of the grain, as of the temperature and relative humidity of the outside air. In order to monitor temperature and humidity of the grain mass, it is possible to have a network of sensors in the cells of both internal and external storage. Use of artificial intelligence through Fuzzy theory, has been used since the 60s and enables their application on various forms. Thus, it is observed that the aeration of grain in function of representing a system of controlled environment can be studied in relation to the application of this theory. Therefore, the aim of this paper is to present an embedded Fuzzy control system based on the mathematical model of CRUZ et al. (2002) and applied to the Arduino platform, for decision support in aeration of grain. For this, an embedded Arduino system was developed, which received the environmental values of temperature and humidity to then be processed in a Fuzzy controller and return the output as a recommendation to control the aeration process rationally. Comparing the results obtained from the graph presented by LASSERAN (1981) it was observed that the system is effective.Universidade Federal de Santa Maria2016-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016001101917Ciência Rural v.46 n.11 2016reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20141808info:eu-repo/semantics/openAccessSzesz Junior,AlbinoMonteiro Junior,MarcosDias,Ariangelo HauerMathias,Ivo MárioConti,Giuvaneeng2016-09-28T00:00:00ZRevista
dc.title.none.fl_str_mv Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
title Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
spellingShingle Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
Szesz Junior,Albino
arduino
agriculture
mathematical model
Fuzzy logic
grain aeration
title_short Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
title_full Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
title_fullStr Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
title_full_unstemmed Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
title_sort Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
author Szesz Junior,Albino
author_facet Szesz Junior,Albino
Monteiro Junior,Marcos
Dias,Ariangelo Hauer
Mathias,Ivo Mário
Conti,Giuvane
author_role author
author2 Monteiro Junior,Marcos
Dias,Ariangelo Hauer
Mathias,Ivo Mário
Conti,Giuvane
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Szesz Junior,Albino
Monteiro Junior,Marcos
Dias,Ariangelo Hauer
Mathias,Ivo Mário
Conti,Giuvane
dc.subject.por.fl_str_mv arduino
agriculture
mathematical model
Fuzzy logic
grain aeration
topic arduino
agriculture
mathematical model
Fuzzy logic
grain aeration
description ABSTRACT: Aeration is currently the most commonly used technique to improve the drying and storage of grain, depending on temperature and water content of the grain, as of the temperature and relative humidity of the outside air. In order to monitor temperature and humidity of the grain mass, it is possible to have a network of sensors in the cells of both internal and external storage. Use of artificial intelligence through Fuzzy theory, has been used since the 60s and enables their application on various forms. Thus, it is observed that the aeration of grain in function of representing a system of controlled environment can be studied in relation to the application of this theory. Therefore, the aim of this paper is to present an embedded Fuzzy control system based on the mathematical model of CRUZ et al. (2002) and applied to the Arduino platform, for decision support in aeration of grain. For this, an embedded Arduino system was developed, which received the environmental values of temperature and humidity to then be processed in a Fuzzy controller and return the output as a recommendation to control the aeration process rationally. Comparing the results obtained from the graph presented by LASSERAN (1981) it was observed that the system is effective.
publishDate 2016
dc.date.none.fl_str_mv 2016-11-01
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=S0103-84782016001101917
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016001101917
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20141808
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.46 n.11 2016
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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