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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
15/08/1996 |
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Data da última atualização: |
01/08/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
PESSOA, M. C. P. Y.; MEYER, J. F. C. A.; FERNANDES, J. F. R.; HABIB, M. E. E. |
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Afiliação: |
MARIA CONCEICAO PERES YOUNG PESSOA, CNPMA. |
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Título: |
Numeric simulation system using artificial intelligence to analyze the cotton boll weevil dynamic population. |
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Ano de publicação: |
1996 |
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Fonte/Imprenta: |
In: CONFERENCE ON ENVIRONMETRICS IN BRAZIL, 1996, São Paulo. Abstracts... São Paulo: USP, 1996. |
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Páginas: |
p.E7-E10 |
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Idioma: |
Inglês |
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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. MenosThe 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 modificat... Mostrar Tudo |
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Palavras-Chave: |
Anthonomus grandis Boheman; Artificial inteligence; Bicudo do algodoeiro; Cotton boll weevil; Expert system; Infestation; Inimigos naturais; Insect pest; Inteligencia artificial; Manejo integrado de pragas; Simulation system. |
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Thesagro: |
Algodão; Controle Biológico; Dinâmica Populacional; Infestação; Praga; Simulação. |
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Thesaurus Nal: |
biological control; integrated pest management; natural enemies; population dynamics. |
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Categoria do assunto: |
-- |
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URL: |
https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/12534/1/1996PC-Pessoa-NumericSimulatiomSystem-3145.pdf
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Marc: |
LEADER 02921nam a2200409 a 4500
001 1012534
005 2022-08-01
008 1996 bl uuuu u00u1 u #d
100 1 $aPESSOA, M. C. P. Y.
245 $aNumeric simulation system using artificial intelligence to analyze the cotton boll weevil dynamic population.$h[electronic resource]
260 $aIn: CONFERENCE ON ENVIRONMETRICS IN BRAZIL, 1996, São Paulo. Abstracts... São Paulo: USP$c1996
300 $ap.E7-E10
520 $aThe 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.
650 $abiological control
650 $aintegrated pest management
650 $anatural enemies
650 $apopulation dynamics
650 $aAlgodão
650 $aControle Biológico
650 $aDinâmica Populacional
650 $aInfestação
650 $aPraga
650 $aSimulação
653 $aAnthonomus grandis Boheman
653 $aArtificial inteligence
653 $aBicudo do algodoeiro
653 $aCotton boll weevil
653 $aExpert system
653 $aInfestation
653 $aInimigos naturais
653 $aInsect pest
653 $aInteligencia artificial
653 $aManejo integrado de pragas
653 $aSimulation system
700 1 $aMEYER, J. F. C. A.
700 1 $aFERNANDES, J. F. R.
700 1 $aHABIB, M. E. E.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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| 3. | | ANDRADE, H. A. F. de; SILVA-MATOS, R. R. S. da; MACHADO, N. A. F.; OLIVEIRA, A. R. F.; GARRETO, V. C.; LEITE, M. R. L.; PONTES, S. F.; SILVA, A. F.; MACHADO, F. G. A.; LOPES, P. R. C. Decomposed babassu biomass residue enhances the initial development of cassava (Manihot esculenta Crantz). Australian Journal of Crop Science, v. 15, n. 3, p. 409-415, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
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| Registros recuperados : 3 | |
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