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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
10/03/2017 |
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Data da última atualização: |
20/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MELO JUNIOR, J. G. D.; FARIAS, F. S.; KATO, O. R. |
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Afiliação: |
J. G. D. Melo Junior, UFPA; F. S. Farias, UFPA; OSVALDO RYOHEI KATO, CPATU. |
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Título: |
Assessment of the sustainability of agroecosystems in the Amazon Region using neural artificial networks. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
IEEE Latin America Transactions, v. 14, n. 8, p. 3804-3810, Aug. 2016. |
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Idioma: |
Inglês |
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Conteúdo: |
The assessment of sustainability provides the actual situation of a site and provides information for decision making. In the Amazon, the assessment of the sustainability benefits of using adapted analytical models. However, this model is not always accurate. In this paper we propose a methodology that uses an artificial intelligence algorithm based on artificial neural networks (ANN), as a decision support tool, which aims to classify agroecosystems with agroforestry systems and without agroforestry systems. The sites are classified into two groups: Sustainable and Not Sustainable. For data collection we carried out technical visits to the rural community of Santa Luzia, in the municipality of Tomé-Açu, Pará Amazon. During the research data of 28 production units were collected. Finally, the data were submitted to the ANN and the results demonstrate the high potential of using computational intelligence algorithms for the purpose of monitoring the agro forestry systems in the Amazon region. |
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Palavras-Chave: |
Agroecossistema; Redes neurais artificiais; Sistemas de agroflorestal; Sustentabilidade. |
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Thesaurus Nal: |
Amazonia. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
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100 1 $aMELO JUNIOR, J. G. D.
245 $aAssessment of the sustainability of agroecosystems in the Amazon Region using neural artificial networks.$h[electronic resource]
260 $c2016
520 $aThe assessment of sustainability provides the actual situation of a site and provides information for decision making. In the Amazon, the assessment of the sustainability benefits of using adapted analytical models. However, this model is not always accurate. In this paper we propose a methodology that uses an artificial intelligence algorithm based on artificial neural networks (ANN), as a decision support tool, which aims to classify agroecosystems with agroforestry systems and without agroforestry systems. The sites are classified into two groups: Sustainable and Not Sustainable. For data collection we carried out technical visits to the rural community of Santa Luzia, in the municipality of Tomé-Açu, Pará Amazon. During the research data of 28 production units were collected. Finally, the data were submitted to the ANN and the results demonstrate the high potential of using computational intelligence algorithms for the purpose of monitoring the agro forestry systems in the Amazon region.
650 $aAmazonia
653 $aAgroecossistema
653 $aRedes neurais artificiais
653 $aSistemas de agroflorestal
653 $aSustentabilidade
700 1 $aFARIAS, F. S.
700 1 $aKATO, O. R.
773 $tIEEE Latin America Transactions$gv. 14, n. 8, p. 3804-3810, Aug. 2016.
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Embrapa Amazônia Oriental (CPATU) |
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| 1. |  | ALVARES, V. de S.; SALMAN, A. K. D.; FELISBERTO, F. A. V.; MADRUGA, A. L. S.; MACIEL, V. T.; SILVA, S. F. da. Influência da fervura nas características fisicoquímicas de resíduos da extração de semente de pupunha. In: SIMPÓSIO DE CIÊNCIA E TECNOLOGIA DE ALIMENTOS, 3.; CONGRESSO DO INSTITUTO NACIONAL DE FRUTAS TROPICAIS, 2.; SEMINÁRIO DE CIÊNCIA DE ALIMENTOS, 4., 2011, Recife. Estratégias para o desenvolvimento do Nordeste: anais. Recife: sbCTA, 2011. 3 p.| Tipo: Artigo em Anais de Congresso |
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