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dc.contributor.authorPESSOA, M. C. P. Y.
dc.contributor.authorMEYER, J. F. C. A.
dc.contributor.authorFERNANDES, J. F. R.
dc.contributor.authorHABIB, M. E. E.
dc.date.accessioned2022-08-01T18:19:22Z-
dc.date.available2022-08-01T18:19:22Z-
dc.date.created1996-08-15
dc.date.issued1996
dc.identifier.citationIn: CONFERENCE ON ENVIRONMETRICS IN BRAZIL, 1996, São Paulo. Abstracts... São Paulo: USP, 1996.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/12534-
dc.descriptionThe cotton boll weevil is an insect that has its life cycle very close with the cotton culture. Its preferences for the strutures of frutifications (squares and bolls), used as feed and reproducing sites, imposes a great number of damages on culture. In this sense, founded at certain levels of population, this insect becomes a serious cotton pest, needing immediactive intervention for culture productivity security. Following the orientations of the Integrated Pest Management Program, it's possible to determine when the insect population reaches hazards levels to the culture and to decrease the number of pesticides applications needs to the pest control. In the Brazilian environment there are a great number of promising natural enemies to be used as biological control agents. But it is very difficult to determine the number of these populations and when to liberate them on the crop, able to secure an efficient pest control. The main objective of this work was to develop a simulation system in order to monitor the populational dynamics of the cotton boll weevil (Anthonomus grandis Boheman, Coleoptera: Curculionidae) at different levels of infestation, interacting the numeric simulation and artificial intelligence techniques. The source program was developed in C language, in a SUN Sparc Station UNIX-OS, sponsored by DOD-EMBRAPA's PhD-Programme, in DENSIS-FEE/UNICAMP (PESSOA, 1994). The program has molecular structure, allowing the inclusion of new modules, as well as modifications in the existing modules to incorporate particular situations of regions that will be studied, without compressing the program structure.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCotton boll weevil
dc.subjectInsect pest
dc.subjectInfestation
dc.subjectSimulation system
dc.subjectAnthonomus grandis Boheman
dc.subjectArtificial inteligence
dc.subjectExpert system
dc.subjectBicudo do algodoeiro
dc.subjectInimigos naturais
dc.subjectInteligencia artificial
dc.subjectManejo integrado de pragas
dc.titleNumeric simulation system using artificial intelligence to analyze the cotton boll weevil dynamic population.
dc.typeResumo em anais e proceedings
dc.subject.thesagroAlgodão
dc.subject.thesagroControle Biológico
dc.subject.thesagroDinâmica Populacional
dc.subject.thesagroInfestação
dc.subject.thesagroPraga
dc.subject.thesagroSimulação
dc.subject.nalthesaurusbiological control
dc.subject.nalthesaurusintegrated pest management
dc.subject.nalthesaurusnatural enemies
dc.subject.nalthesauruspopulation dynamics
dc.format.extent2p.E7-E10
riaa.ainfo.id12534
riaa.ainfo.lastupdate2022-08-01
dc.contributor.institutionMARIA CONCEICAO PERES YOUNG PESSOA, CNPMA.
Aparece nas coleções:Resumo em anais de congresso (CNPMA)

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