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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: |
null
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
