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| 1. |  | SILVA, D. V. da; OLIVEIRA, T. K. de; KUSDRA, J. F.; kÖLLIN, F. T.; LIMA, A. A. de; COSTA, K. B. A. da. Decomposition of ground biomass of secondary forest and yield of annual crops in no tillage system. Revista Ceres, Viçosa, v. 62, n. 6, p. 568-576, nov./dez. 2015.| Biblioteca(s): Embrapa Acre. |
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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: |
30/11/2020 |
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Data da última atualização: |
30/11/2020 |
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Autoria: |
SANTOS, S. A.; LIMA, H. P. de; BALDIVIESO, H. P.; OLIVEIRA, L. O. F. de; TOMAS, W. M. |
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Afiliação: |
SANDRA APARECIDA SANTOS, CPAP; HELANO POVOAS DE LIMA, CNPTIA; HUMBERTO PEROTTO BALDIVIESO, CRANFIELD UNIVERSITY; LUIZ ORCIRIO FIALHO DE OLIVEIRA, CPAP; WALFRIDO MORAES TOMAS, CPAP. |
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Título: |
GIS-fuzzy logic approach for building indices: regional feasibility and natural potential of ranching in tropical wetland. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Journal of Agricultural Informatics, v. 5, n. 2, p. 26-33, 2014. |
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Idioma: |
Inglês |
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Conteúdo: |
The regional feasibility of ranching (RFR) index was obtained in order to evaluate the productive potential of farms in the Pantanal. Five indicators were selected by expert and employed for the developing of the index. One of the five indicators corresponded to the natural potential for livestock ranching (NPLR) index which was generated by GIS-fuzzy logic. Fuzzy inference process, involving definitions of membership functions, fuzzy set operations and inference rules was implemented and validated with the participation of primary stakeholders. Different scenarios were simulated in a batch, next validated and adjusted with the participation of stakeholders. Both procedures were performed by the use of the Webfuzzy software. The NPLR and RFR index values, calculated for the pilot ranch, corresponded to the expectations of both expert and stakeholders. Fuzzy logic combined with landscape metric seems to be suitable for the definition of the productive natural potential of ranches to produce livestock in the Pantanal. The indices can assess the regional feasibility of ranching, contributing to decision-making of stakeholders. |
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Palavras-Chave: |
Landscape analysis; Sustainability indicator. |
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Thesaurus NAL: |
artificial intelligence; decision making; Pantanal. |
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Categoria do assunto: |
-- |
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Marc: |
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001 2127304
005 2020-11-30
008 2014 bl uuuu u00u1 u #d
100 1 $aSANTOS, S. A.
245 $aGIS-fuzzy logic approach for building indices$bregional feasibility and natural potential of ranching in tropical wetland.$h[electronic resource]
260 $c2014
520 $aThe regional feasibility of ranching (RFR) index was obtained in order to evaluate the productive potential of farms in the Pantanal. Five indicators were selected by expert and employed for the developing of the index. One of the five indicators corresponded to the natural potential for livestock ranching (NPLR) index which was generated by GIS-fuzzy logic. Fuzzy inference process, involving definitions of membership functions, fuzzy set operations and inference rules was implemented and validated with the participation of primary stakeholders. Different scenarios were simulated in a batch, next validated and adjusted with the participation of stakeholders. Both procedures were performed by the use of the Webfuzzy software. The NPLR and RFR index values, calculated for the pilot ranch, corresponded to the expectations of both expert and stakeholders. Fuzzy logic combined with landscape metric seems to be suitable for the definition of the productive natural potential of ranches to produce livestock in the Pantanal. The indices can assess the regional feasibility of ranching, contributing to decision-making of stakeholders.
650 $aartificial intelligence
650 $adecision making
650 $aPantanal
653 $aLandscape analysis
653 $aSustainability indicator
700 1 $aLIMA, H. P. de
700 1 $aBALDIVIESO, H. P.
700 1 $aOLIVEIRA, L. O. F. de
700 1 $aTOMAS, W. M.
773 $tJournal of Agricultural Informatics$gv. 5, n. 2, p. 26-33, 2014.
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Embrapa Agricultura Digital (CNPTIA) |
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