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| Registros recuperados : 18 | |
| 2. |  | LIBERTAÇÃO, A. G. de; LUZ, J. M. Q.; MARTINS, S. T.; DINIZ, K. A.; HABER, L. L.; DÓRO, L. F. A.; OLIVEIRA, C. E. P. de. Avaliação agronômica de chicória escarola lisa em diferentes concentrações de solução nutritiva. Horticultura Brasileira, Brasília, v. 21, n. 2, jul. 2003. Suplemento 2. Trabalho apresentado no 43º Congresso Brasileiro de Olericultura, 2003. Publicado também como resumo em: Horticultura Brasileira, Brasília, v. 21, n. 2, p. 290, jul. 2003. Suplemento 1.| Biblioteca(s): Embrapa Hortaliças. |
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| 3. | | PEREIRA FILHO, I. A. P.; CRUZ, J. C.; MOREIRA, J. A. Produção orgânica de milho intercalado com leucena. In: CONGRESSO NACIONAL DE MILHO E SORGO, 27.; SIMPOSIO BRASILEIRO SOBRE A LAGARTA-DO-CARTUCHO, SPODOPTERA FRUGIPERDA, 3.; WORKSHOP SOBRE MANEJO E ETIOLOGIA DA MANCHA BRANCA DO MILHO, 2008, Londrina. Agroenergia, producao de alimentos e mudanças climáticas: desafios para milho e sorgo: resumos. Londrina: IAPAR; Sete Lagoas: Embrapa Milho e Sorgo, 2008. p. 435.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 5. | | GUIDUGLI, M. C.; HILDEBRAND, H. S.; CANAS, M. C. T.; PIMENTEL, A. L.; CIAMPI, A. Y.; MESTRINER, M. A.; SILVA, A. J.; ALZATE-MARIN, A. L. Diversidade genética de populações naturais da espécie florestal Hymenaea courbaril no noroeste de São Paulo. In: CONGRESSO BRASILEIRO DE GENÉTICA, 52., 2006, Foz do Iguaçu, PR. Resumos... Ribeirão Preto, SP: Sociedade Brasileira de Genética, 2006. p. 1002.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 9. | | MELO, F. de B.; MILANI, M.; CARDOSO, M. J.; RIBEIRO, V. Q. Avaliação de genótipos de mamona em baixa altitude em monocultivo e consorciados com feijão-caupi no Estado do Piauí. In: CONGRESSO BRASILEIRO DE MAMONA, 5.; SIMPÓSIO INTERNACIONAL DE OLEAGINOSAS ENERGÉTICAS, 2.; FÓRUM CAPIXABA DE PINHÃO MANSO, 1., 2012, Guarapari. Desafios e oportunidades: anais. Campina grande: Embrapa Algodão, 2012. 1 CD-ROM.| Biblioteca(s): Embrapa Meio-Norte. |
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| 14. | | REIS, J. C. dos; RODRIGUES, G. S.; BARROS, I. de; RODRIGUES, R. de A. R.; GARRETT, R. D.; VALENTIM, J. F.; KAMOI, M. Y. T.; MICHETTI, M.; WRUCK, F. J.; RODRIGUES-FILHO, S. Fuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier. Agronomy for Sustainable Development, v. 43, 2023. 18 p.| Biblioteca(s): Embrapa Acre; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Meio Ambiente. |
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| Registros recuperados : 18 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Acre; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Meio Ambiente. |
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Data corrente: |
11/01/2023 |
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Data da última atualização: |
24/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
REIS, J. C. dos; RODRIGUES, G. S.; BARROS, I. de; RODRIGUES, R. de A. R.; GARRETT, R. D.; VALENTIM, J. F.; KAMOI, M. Y. T.; MICHETTI, M.; WRUCK, F. J.; RODRIGUES-FILHO, S. |
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Afiliação: |
JULIO CESAR DOS REIS, CPAC; GERALDO STACHETTI RODRIGUES, CNPMA; INACIO DE BARROS, CNPGL; RENATO DE ARAGÃO RIBEIRO RODRIGUES; RACHAEL D. GARRETT; JUDSON FERREIRA VALENTIM, CPAF-AC; MARIANA Y. T. KAMOI; MIQUEIAS MICHETTI; FLAVIO JESUS WRUCK, CPAMT; SAULO RODRIGUES‑FILHO. |
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Título: |
Fuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Agronomy for Sustainable Development, v. 43, 2023. |
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Páginas: |
18 p. |
|
DOI: |
https://doi.org/10.1007/s13593-022-00858-5 |
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Idioma: |
Inglês |
|
Conteúdo: |
Assessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic, but lower social and environmental performances. These results are in contrast to the oft-perceived trade-ofs among diferent pillars of sustainability and show that integrated systems have the potential to balance multiple sustainability objectives, by leveraging multiple subsystem synergies. The innovative fuzzy inference model proposed is suitable to deal with information at the farm level, handling diferent types of farming systems, and applicable to diferent environmental or socioeconomic contexts. Moreover, the proposed indicators and associated indices ofer relevant information to policy-makers to foster the sustainable intensifcation of farming systems, while promoting environmental
protection and the coexistence of biodiversity and the agricultural sector. MenosAssessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic... Mostrar Tudo |
|
Palavras-Chave: |
Sistema agrícola; Sustentabilidade. |
|
Thesagro: |
Cerrado. |
|
Thesaurus NAL: |
Amazonia; Fuzzy logic; Integrated agricultural systems. |
|
Categoria do assunto: |
--
A Sistemas de Cultivo
P Recursos Naturais, Ciências Ambientais e da Terra
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 03258naa a2200325 a 4500
001 2150885
005 2023-03-24
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s13593-022-00858-5$2DOI
100 1 $aREIS, J. C. dos
245 $aFuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier.$h[electronic resource]
260 $c2023
300 $a18 p.
520 $aAssessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic, but lower social and environmental performances. These results are in contrast to the oft-perceived trade-ofs among diferent pillars of sustainability and show that integrated systems have the potential to balance multiple sustainability objectives, by leveraging multiple subsystem synergies. The innovative fuzzy inference model proposed is suitable to deal with information at the farm level, handling diferent types of farming systems, and applicable to diferent environmental or socioeconomic contexts. Moreover, the proposed indicators and associated indices ofer relevant information to policy-makers to foster the sustainable intensifcation of farming systems, while promoting environmental protection and the coexistence of biodiversity and the agricultural sector.
650 $aAmazonia
650 $aFuzzy logic
650 $aIntegrated agricultural systems
650 $aCerrado
653 $aSistema agrícola
653 $aSustentabilidade
700 1 $aRODRIGUES, G. S.
700 1 $aBARROS, I. de
700 1 $aRODRIGUES, R. de A. R.
700 1 $aGARRETT, R. D.
700 1 $aVALENTIM, J. F.
700 1 $aKAMOI, M. Y. T.
700 1 $aMICHETTI, M.
700 1 $aWRUCK, F. J.
700 1 $aRODRIGUES-FILHO, S.
773 $tAgronomy for Sustainable Development$gv. 43, 2023.
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