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| 1. |  | SANTOS, V. A. dos; ARAÚJO, M. da C. R.; CHAGAS, E. A.; ARAÚJO, O. M. de; LOCATELLE, G.; ALBUQUERQUE, T. C. S. de; LOZANO, R. M. B. Ácidos organicos no desenvolvimento de mudas de cupuaçuzeiro. In: SIMPÓSIO INTERNACIONAL DE BOTÂNICA APLICADA, 2.; SIMPÓSIO NACIONAL DE FRUTÍFERAS E ORNAMENTAIS DO NORTE E NORDESTE, 2., 2013, Manaus. Anais... Manaus: Ufam, 2013.| Biblioteca(s): Embrapa Roraima. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
04/12/2013 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MASSRUHÁ, S. M. F. S.; LIMA, H. P. de; ABREU, U. G. P. de; SANTOS, S. A. |
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Afiliação: |
SILVIA MARIA FONSECA SILVEIRA MASSRUHÁ, CNPTIA; HELANO PÓVOAS DE LIMA, CNPTIA; URBANO GOMES PINTO DE ABREU, CPAP; SANDRA APARECIDA SANTOS, CPAP. |
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Título: |
A fuzzy decision-making tool for livestock production systems in Pantanal region. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: EFITA-WCCA-CIGR CONFERENCE, 2013, Torino, Italy. Sustainable agriculture through ICT innovation. [S.l.: s.n. 2013]. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
Efita 2013. C0299. |
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Conteúdo: |
ABSTRACT: This paper describes the construction of a fuzzy inference system (FIS) based on rules to assess the sustainability of farms in the Pantanal. Sustainability of biomes is founded on three dimensions: environmental, social and economical. This paper presents a fuzzy approach to integrate sustainability indicators to quantify and simplify phenomena that are accessible to all users and assist decision makers for understanding of complex systems. This work also describes two tools to support the construction of fuzzy systems, called FuzzyGen and WebFuzzy. They were developed by Embrapa Agricultural Informatics and Embrapa Pantanal. The use of sustainability indicators is an efficient strategy to evaluate and formulate development policies. The monitoring of real production systems of beef cattle in the Pantanal was the basis for the definition of variables to represent the performance of the activity. The validation was performed from scenario simulation in a fuzzy inference system (FIS). Scenarios were constructed to critical evaluation of producers until convergence analysis results from the experience of producers. |
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Palavras-Chave: |
Ferramenta de tomada de decisão; Indicadores sustentáveis; Lógica fuzzy. |
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Thesagro: |
Gado de Corte; Tecnologia da Informação. |
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Thesaurus NAL: |
Beef cattle; Fuzzy logic; Information technology; Livestock. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 1972856
005 2020-01-08
008 2013 bl uuuu u00u1 u #d
100 1 $aMASSRUHÁ, S. M. F. S.
245 $aA fuzzy decision-making tool for livestock production systems in Pantanal region.$h[electronic resource]
260 $aIn: EFITA-WCCA-CIGR CONFERENCE, 2013, Torino, Italy. Sustainable agriculture through ICT innovation. [S.l.: s.n. 2013].$c2013
300 $aNão paginado.
500 $aEfita 2013. C0299.
520 $aABSTRACT: This paper describes the construction of a fuzzy inference system (FIS) based on rules to assess the sustainability of farms in the Pantanal. Sustainability of biomes is founded on three dimensions: environmental, social and economical. This paper presents a fuzzy approach to integrate sustainability indicators to quantify and simplify phenomena that are accessible to all users and assist decision makers for understanding of complex systems. This work also describes two tools to support the construction of fuzzy systems, called FuzzyGen and WebFuzzy. They were developed by Embrapa Agricultural Informatics and Embrapa Pantanal. The use of sustainability indicators is an efficient strategy to evaluate and formulate development policies. The monitoring of real production systems of beef cattle in the Pantanal was the basis for the definition of variables to represent the performance of the activity. The validation was performed from scenario simulation in a fuzzy inference system (FIS). Scenarios were constructed to critical evaluation of producers until convergence analysis results from the experience of producers.
650 $aBeef cattle
650 $aFuzzy logic
650 $aInformation technology
650 $aLivestock
650 $aGado de Corte
650 $aTecnologia da Informação
653 $aFerramenta de tomada de decisão
653 $aIndicadores sustentáveis
653 $aLógica fuzzy
700 1 $aLIMA, H. P. de
700 1 $aABREU, U. G. P. de
700 1 $aSANTOS, S. A.
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