Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/12534
Título: Numeric simulation system using artificial intelligence to analyze the cotton boll weevil dynamic population.
Autoria: PESSOA, M. C. P. Y.
MEYER, J. F. C. A.
FERNANDES, J. F. R.
HABIB, M. E. E.
Afiliação: MARIA CONCEICAO PERES YOUNG PESSOA, CNPMA.
Ano de publicação: 1996
Referência: In: CONFERENCE ON ENVIRONMETRICS IN BRAZIL, 1996, São Paulo. Abstracts... São Paulo: USP, 1996.
Páginas: p.E7-E10
Conteúdo: The 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.
Thesagro: Algodão
Controle Biológico
Dinâmica Populacional
Infestação
Praga
Simulação
NAL Thesaurus: biological control
integrated pest management
natural enemies
population dynamics
Palavras-chave: Cotton boll weevil
Insect pest
Infestation
Simulation system
Anthonomus grandis Boheman
Artificial inteligence
Expert system
Bicudo do algodoeiro
Inimigos naturais
Inteligencia artificial
Manejo integrado de pragas
Tipo do material: Resumo em anais e proceedings
Acesso: openAccess
Aparece nas coleções:Resumo em anais de congresso (CNPMA)

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