An approach via fuzzy systems for dynamics and control of the soybean aphid

Detalhes bibliográficos
Autor(a) principal: Peixoto, Magda S.
Data de Publicação: 2015
Outros Autores: Barros, Laecio C., Bassanezi, Rodney C., Fernandes, Odair A. [UNESP], Alonso, J. M., Bustince, H., Reformat, M.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/158447
Resumo: This paper uses a methodology based in fuzzy sets theory in order to describe the interaction between the prey, Aphis glycines (Hemiptera: Aphididae) the soybean aphid, and its predator, Orius insidiosus (Hemiptera: Anthocoridae) and to propose a chemical control for soybean aphid. Economic thresholds were already developed for this pest. The model includes biotic (predator) and abiotic (temperature) factors, which affect the soybean aphid population dynamics. This model is very useful to predict timing and releasing numbers of predators for soybean aphid biological control.
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spelling An approach via fuzzy systems for dynamics and control of the soybean aphidsystemsMamdani inference methodpreypredatorAphis glycinescontrolThis paper uses a methodology based in fuzzy sets theory in order to describe the interaction between the prey, Aphis glycines (Hemiptera: Aphididae) the soybean aphid, and its predator, Orius insidiosus (Hemiptera: Anthocoridae) and to propose a chemical control for soybean aphid. Economic thresholds were already developed for this pest. The model includes biotic (predator) and abiotic (temperature) factors, which affect the soybean aphid population dynamics. This model is very useful to predict timing and releasing numbers of predators for soybean aphid biological control.Univ Fed Sao Carlos UFSCar, DFQM, BR-18052780 Sorocaba, SP, BrazilUniv Estadual Campinas, UNICAMP, DMA, BR-13083859 Campinas, SP, BrazilUniv Estadual Paulista, FCAV, UNESP, BR-14884900 Jaboticabal, SP, BrazilUniv Estadual Paulista, FCAV, UNESP, BR-14884900 Jaboticabal, SP, BrazilAtlantis PressUniversidade Federal de São Carlos (UFSCar)Universidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Peixoto, Magda S.Barros, Laecio C.Bassanezi, Rodney C.Fernandes, Odair A. [UNESP]Alonso, J. M.Bustince, H.Reformat, M.2018-11-26T15:27:41Z2018-11-26T15:27:41Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1295-1301Proceedings Of The 2015 Conference Of The International Fuzzy Systems Association And The European Society For Fuzzy Logic And Technology. Paris: Atlantis Press, v. 89, p. 1295-1301, 2015.1951-6851http://hdl.handle.net/11449/158447WOS:000358581100182Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings Of The 2015 Conference Of The International Fuzzy Systems Association And The European Society For Fuzzy Logic And Technologyinfo:eu-repo/semantics/openAccess2021-10-23T21:44:28Zoai:repositorio.unesp.br:11449/158447Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:12:55.297065Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An approach via fuzzy systems for dynamics and control of the soybean aphid
title An approach via fuzzy systems for dynamics and control of the soybean aphid
spellingShingle An approach via fuzzy systems for dynamics and control of the soybean aphid
Peixoto, Magda S.
systems
Mamdani inference method
prey
predator
Aphis glycines
control
title_short An approach via fuzzy systems for dynamics and control of the soybean aphid
title_full An approach via fuzzy systems for dynamics and control of the soybean aphid
title_fullStr An approach via fuzzy systems for dynamics and control of the soybean aphid
title_full_unstemmed An approach via fuzzy systems for dynamics and control of the soybean aphid
title_sort An approach via fuzzy systems for dynamics and control of the soybean aphid
author Peixoto, Magda S.
author_facet Peixoto, Magda S.
Barros, Laecio C.
Bassanezi, Rodney C.
Fernandes, Odair A. [UNESP]
Alonso, J. M.
Bustince, H.
Reformat, M.
author_role author
author2 Barros, Laecio C.
Bassanezi, Rodney C.
Fernandes, Odair A. [UNESP]
Alonso, J. M.
Bustince, H.
Reformat, M.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de São Carlos (UFSCar)
Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Peixoto, Magda S.
Barros, Laecio C.
Bassanezi, Rodney C.
Fernandes, Odair A. [UNESP]
Alonso, J. M.
Bustince, H.
Reformat, M.
dc.subject.por.fl_str_mv systems
Mamdani inference method
prey
predator
Aphis glycines
control
topic systems
Mamdani inference method
prey
predator
Aphis glycines
control
description This paper uses a methodology based in fuzzy sets theory in order to describe the interaction between the prey, Aphis glycines (Hemiptera: Aphididae) the soybean aphid, and its predator, Orius insidiosus (Hemiptera: Anthocoridae) and to propose a chemical control for soybean aphid. Economic thresholds were already developed for this pest. The model includes biotic (predator) and abiotic (temperature) factors, which affect the soybean aphid population dynamics. This model is very useful to predict timing and releasing numbers of predators for soybean aphid biological control.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2018-11-26T15:27:41Z
2018-11-26T15:27:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Proceedings Of The 2015 Conference Of The International Fuzzy Systems Association And The European Society For Fuzzy Logic And Technology. Paris: Atlantis Press, v. 89, p. 1295-1301, 2015.
1951-6851
http://hdl.handle.net/11449/158447
WOS:000358581100182
identifier_str_mv Proceedings Of The 2015 Conference Of The International Fuzzy Systems Association And The European Society For Fuzzy Logic And Technology. Paris: Atlantis Press, v. 89, p. 1295-1301, 2015.
1951-6851
WOS:000358581100182
url http://hdl.handle.net/11449/158447
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings Of The 2015 Conference Of The International Fuzzy Systems Association And The European Society For Fuzzy Logic And Technology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1295-1301
dc.publisher.none.fl_str_mv Atlantis Press
publisher.none.fl_str_mv Atlantis Press
dc.source.none.fl_str_mv Web of Science
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_ 1808128773378277376

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