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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. |
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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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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. |
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DOI: |
https://doi.org/10.1007/s13593-022-00858-5 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Sistema agrícola; Sustentabilidade. |
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Thesagro: |
Cerrado. |
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Thesaurus Nal: |
Amazonia; Fuzzy logic; Integrated agricultural systems. |
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Categoria do assunto: |
--
A Sistemas de Cultivo
P Recursos Naturais, Ciências Ambientais e da Terra
X Pesquisa, Tecnologia e Engenharia |
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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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Registro original: |
Embrapa Cerrados (CPAC) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Cocais. |
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Data corrente: |
12/06/2017 |
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Data da última atualização: |
04/12/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
REGO, C. A. R. de M.; REIS, V. R. R.; WANDER, A. E.; CANTANHÊDE, I. S. de L.; COSTA, J. B.; MUNIZ, L. C.; COSTA, B. P.; LÓPEZ de HERRERA, J. |
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Afiliação: |
CARLOS AUGUSTO ROCHA DE MORAES REGO, UEMA; VICTOR ROBERTO RIBEIRO REIS, UEMA; ALCIDO ELENOR WANDER, CNPAF; ILKA SOUTH DE LIMA CANTANHÊDE, IFMA; JOAQUIM BEZERRA COSTA, CPACP; LUCIANO CAVALCANTE MUNIZ, UEMA; BRUNA PENHA COSTA, UEMA; JUAN LÓPEZ DE HERRERA, University of Madrid. |
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Título: |
Cost analysis of corn cultivation in the setup of the crop-livestock-forest integration system to recover degraded pastures. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Journal of Agricultural Science, v. 9, n. 6, p. 168-174, 2017. |
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ISSN: |
1916-9760 |
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DOI: |
10.5539/jas.v9n6p168 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study is to estimate the production costs and profitability of corn cultivation in the setup phase of the crop-livestock-forest integration system for pasture recovery in the municipality of Pindaré-Mirim/MA, Brazil. The study was developed at the Technological Reference Unit (TRU) for the Integration of Crop-Livestock-Forest (ICLF) of Embrapa Cocais, located in the municipality of Pindaré-Mirim/MA, Brazil. Data collection occurred during the agricultural year 2015/2016. The management of the ICLF system was carried out following the molds of the 'Santa Fé' technique. The cost of production was used to calculate the Total Operational Cost (TOC) and were extrapolated per hectare. For the economic analysis of corn production, three different prices were considered: (a) the price received by the producer; (b) the historical average of the last 30 months to the date of actual sale of the product; and (c) the minimum guarantee price of the federal government. The TOC was found to be US$ 1,672.72 per hectare. The economic efficiency indicators showed promising profit values, demonstrating that in this study with corn production in the 1st year, it would be possible to pay for the implementation of the ICLF system as an alternative for the recovery of degraded pasture. |
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Palavras-Chave: |
ILPF; Integração Lavoura-Pecuária-Floresta; Integrated production system; Integration of Crop-Livestock Forest; Lucrativeness; Sistema de produção integrado. |
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Thesagro: |
Análise econômica; Custo de produção; Milho; Recuperação do solo; Sistema de produção. |
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Thesaurus NAL: |
Corn; Economic analysis. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/160827/1/CNPAF-2017-jas.pdf
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Marc: |
LEADER 02520naa a2200385 a 4500
001 2071050
005 2017-12-04
008 2017 bl uuuu u00u1 u #d
022 $a1916-9760
024 7 $a10.5539/jas.v9n6p168$2DOI
100 1 $aREGO, C. A. R. de M.
245 $aCost analysis of corn cultivation in the setup of the crop-livestock-forest integration system to recover degraded pastures.$h[electronic resource]
260 $c2017
520 $aThe objective of this study is to estimate the production costs and profitability of corn cultivation in the setup phase of the crop-livestock-forest integration system for pasture recovery in the municipality of Pindaré-Mirim/MA, Brazil. The study was developed at the Technological Reference Unit (TRU) for the Integration of Crop-Livestock-Forest (ICLF) of Embrapa Cocais, located in the municipality of Pindaré-Mirim/MA, Brazil. Data collection occurred during the agricultural year 2015/2016. The management of the ICLF system was carried out following the molds of the 'Santa Fé' technique. The cost of production was used to calculate the Total Operational Cost (TOC) and were extrapolated per hectare. For the economic analysis of corn production, three different prices were considered: (a) the price received by the producer; (b) the historical average of the last 30 months to the date of actual sale of the product; and (c) the minimum guarantee price of the federal government. The TOC was found to be US$ 1,672.72 per hectare. The economic efficiency indicators showed promising profit values, demonstrating that in this study with corn production in the 1st year, it would be possible to pay for the implementation of the ICLF system as an alternative for the recovery of degraded pasture.
650 $aCorn
650 $aEconomic analysis
650 $aAnálise econômica
650 $aCusto de produção
650 $aMilho
650 $aRecuperação do solo
650 $aSistema de produção
653 $aILPF
653 $aIntegração Lavoura-Pecuária-Floresta
653 $aIntegrated production system
653 $aIntegration of Crop-Livestock Forest
653 $aLucrativeness
653 $aSistema de produção integrado
700 1 $aREIS, V. R. R.
700 1 $aWANDER, A. E.
700 1 $aCANTANHÊDE, I. S. de L.
700 1 $aCOSTA, J. B.
700 1 $aMUNIZ, L. C.
700 1 $aCOSTA, B. P.
700 1 $aLÓPEZ de HERRERA, J.
773 $tJournal of Agricultural Science$gv. 9, n. 6, p. 168-174, 2017.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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