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

dc.contributor.authorPeixoto, Magda S.
dc.contributor.authorBarros, Laecio C.
dc.contributor.authorBassanezi, Rodney C.
dc.contributor.authorFernandes, Odair A. [UNESP]
dc.contributor.authorAlonso, J. M.
dc.contributor.authorBustince, H.
dc.contributor.authorReformat, M.
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T15:27:41Z
dc.date.available2018-11-26T15:27:41Z
dc.date.issued2015-01-01
dc.description.abstractThis 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.en
dc.description.affiliationUniv Fed Sao Carlos UFSCar, DFQM, BR-18052780 Sorocaba, SP, Brazil
dc.description.affiliationUniv Estadual Campinas, UNICAMP, DMA, BR-13083859 Campinas, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, FCAV, UNESP, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, FCAV, UNESP, BR-14884900 Jaboticabal, SP, Brazil
dc.format.extent1295-1301
dc.identifier.citationProceedings 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.
dc.identifier.issn1951-6851
dc.identifier.urihttp://hdl.handle.net/11449/158447
dc.identifier.wosWOS:000358581100182
dc.language.isoeng
dc.publisherAtlantis Press
dc.relation.ispartofProceedings Of The 2015 Conference Of The International Fuzzy Systems Association And The European Society For Fuzzy Logic And Technology
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectsystems
dc.subjectMamdani inference method
dc.subjectprey
dc.subjectpredator
dc.subjectAphis glycines
dc.subjectcontrol
dc.titleAn approach via fuzzy systems for dynamics and control of the soybean aphiden
dc.typeTrabalho apresentado em evento
dcterms.rightsHolderAtlantis Press
dspace.entity.typePublication

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