Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1749140550807715840 |