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| Registros recuperados : 83 | |
| 41. |  | BOECHAT, C. L.; RIBEIRO, M. de O.; RIBEIRO, L. de O.; SANTOS, J. A. G.; ACCIOLY, A. M. de A. Lodos de esgoto doméstico e industrial no crescimento inicial e qualidade de mudas de Pinhão-Manso. Bioscience Journal, Uberlândia, v. 30, n. 3, p. 782-791, May/June, 2014| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 42. | | ACCIOLY, A. M. de A.; CONCEIÇÃO, E. G. J. da; ALCOFORADO, P. A. U. G.; RODRIGUEZ, M. A. D. Distribuição de Silício em bananeiras inoculadas com Fusarium oxysporum f. sp. Cubense In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 30.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 14.; SIMPÓSIO BRASILEIRO MICROBILOGIA DO SOLO, 12.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 09.; SIMPÓSIO SOBRE SELÊNIO NO BRASIL, 1., 2012, Macéio. Fertbio 2012: " a responsabilidade socioambiental da pesquisa agrícola" : [anais...]. Maceió: Sociedade Brasileira de Ciência do Solo; Centro de Ciências Agrárias da Universidade Federal de Alagoas, 2012. 1 CR-ROM.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 50. | | OLIVEIRA, L. B. de; ACCIOLY, A. M. de A.; MENEZES, R. S. C.; ALVES, R. N.; BARBOSA5, F. S. Parâmetros indicadores do potencial de mineralização do nitrogênio de compostos orgânicos. Idesia , Chile, v.30, n.1, p. 65-73, Enero-Abril, 2012.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 52. | | ACCIOLY, A. M. de A.; FURTINI NETO, A. E.; MUNIZ, J. A.; FAQUINI, V.; GUEDES, G. A. de A. Pó de forno elétrico de siderurgia como fonte de micronutrientes e de contaminantes para plantas de milho. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 35, n. 7, p. 1483-91, jul. 2000. Título em inglês: Steel industry furnace residue as a source of micronutrients and contaminants to corn plant.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 53. | | SILVA JÚNIOR, J, J. da; COELHO, E. F.; SANT'ANA, J. A. do V.; ACCIOLY, A. M. de A. Physical, chemical and microbiological properties of a dystrophic yellow latosol using manipueira. Engenharia Agrícola, Jaboticabal, v. 32, n. 4, p. 736-744, jul./ago. 2012.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 55. | | FURTINI NETO, A. E.; FERNANDES, L. A.; FAQUIN, V.; SILVA, I. R. da; ACCIOLY, A. M. de A. Resposta de cultivares de feijoeiro ao enxofre. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 35, n. 3, p. 567-573, mar. 2000. Título em inglês: Response of bean cultivars to sulphur.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 56. | | ALFARO, M. R.; UGARTE, O. M.; MARTÍN, B. C.; ÁLVAREZ, A. M.; RODRÍGUEZ, F. M.; JIMÉNEZ, T. L.; MONTOYA, M. O.; ACCIOLY, A. M. de A. Contenido de metales pesados en abonos orgánicos, sustratos y plantas cultivadas en organopónicos: Heavy metals content in organic manures, substrates and plants cultivated in organoponics. Cultivos Tropicales, v. 33, n. 2, p. 5-12 abril-junio, 2012.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 57. | | SANTOS, N. M. dos; ACCIOLY, A. M. de A.; NASCIMENTO, C. W. A. do; SILVA, I. R.; SANTOS, J. A. G. Biodisponibilidade de chumbo por extratores químicos em solo tratado com ácidos húmicos e carvão ativado. Revista Ciência Agronômica, v. 46, n. 4, p. 663-668, out-dez, 2015.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 58. | | LIMA, F. de S.; NASCIMENTO, C. W. A. do; ACCIOLY, A. M. de A.; SOUSA, C. da S.; CUNHA FILHO, F. F. da. Bioconcentração de chumbo e micronutrientes em hortaliças cultivadas em solo contaminado. Revista Ciência Agronômica, v. 44, n. 2, p. 234-241, abr-jun, 2013.| Biblioteca(s): Embrapa Hortaliças; Embrapa Mandioca e Fruticultura. |
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| 59. | | ALFARO, M. R.; MONTERO, A.; UGARTE, O. M.; NASCIMENTO, C. W. A. do; ACCIOLY, A. M. de A.; BIONDI, C. M.; SILVA, Y. J. A. B. da. Background concentrations and reference values for heavy metals in soils of Cuba. Environmental Monitoring and Assessment, v.187, p. 4198, 2015.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 60. | | ACCIOLY, A. M. de A.; FERNANDES, L. A.; GUEDES, G. A. de A.; FURTINI NETO, A. E.; ANDRADE, C. A. de B. Avaliação do fósforo disponivel em solos de varzea pelos extratores mehlich-I mehlich-II e resina. IN: CONGRESSO BRASILEIRO DE CIÊNÇIA DO SOLO, 25., 1995, Viçosa, MG. Resumos expandidos. Viçosa: UFV, 1995, v.2, p. 986-988.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| Registros recuperados : 83 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
03/12/2019 |
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Data da última atualização: |
05/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
MOREIRA, B. R. de A.; VIANA, R. da S.; LISBOA, L. A. M.; LOPES, P. R. M.; FIGUEIREDO, P. A. M. de; RAMOS, S. B.; BONINI, C. S. B.; TRINDADE, V. D. R.; ANDRADE, M. G. de O.; MAY, A. |
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Afiliação: |
BRUNO RAFAEL DE ALMEIRA MOREIRA, FEIS-UNESP; RONALDO DA SILVA VIANA, FCAT-UNESP; LUCAS APARECIDO MANZANI LISBOA, FCAT-UNESP; PAULO RENATO MATOS LOPES, FCAT-UNESP; PAULO ALEXANDRE MONTEIRO DE FIGUEIREDO, FCAT-UNESP; SÉRGIO BISPO RAMOS, FCAT-UNESP; CAROLINA DOS SANTOS BATISTA BONINI, FCAT-UNESP; V D R TRINDADE, UNESP; M G O ANDRADE, FEIS-UNESP; ANDRE MAY, CNPMA. |
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Título: |
Classifying hybrids of energy cane for production of bioethanol and cogeneration of biomass-based electricity by principal component analysis-linked fuzzy c-means clustering algorithm. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Journal of Agricultural Science, Richmond Hill, v. 11, n. 14, p. 246-253, 2019. |
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ISSN: |
1916-9760 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The biggest challenge facing in sugar-energy plants is to move towards the biorefinery concept, without threatening the environment and health. Energy cane is the state-of-the-art of smart energy crops to provide suitable whole-raw material to produce upgraded biofuels, dehydrated alcohol for transportation, refined sugar, yeast- fermented alcoholic beverages, soft drinks, silage and high quality fodder, as well as to cogenerate heat and bioelectricity from burnt lignocellulose. We, accordingly, present fuzzy c-means (FCM) clustering algorithm interconnected with principal component analysis (PCA) as powerful exploratory data analysis tool to wisely classify hybrids of energy cane for production of first-generation ethanol and cogeneration of heat and bioelectricity. From the orthogonally-rotated factorial map, fuzzy cluster I aggregated the hybrids VX12-0277, VX12-1191, VX12-1356 and VX12-1658 composed of higher contents of soluble solids and sucrose, and larger productive yields of fermentable sugars. These parameters correlated with the X-axis component referring to technological quality of cane juice. Fuzzy cluster III aggregated the hybrids VX12-0180 and VX12-1022 consisted of higher fiber content. This parameter correlated with the Y-axis component referring to physicochemical quality of lignocellulose. From the PCA-FCM methodology, the conclusion is, therefore, hybrids from fuzzy cluster I prove to be type I energy cane (higher sucrose to fiber ratio) and could serve as energy supply pathways to produce bioethanol, while the hybrids from fuzzy cluster III are type II energy cane (lower sucrose to fiber ratio), denoting potential as higher fiber yield biomass sources to feed cogeneration of heat and bioelectricity in high temperature and pressure furnace-boiler system. MenosAbstract: The biggest challenge facing in sugar-energy plants is to move towards the biorefinery concept, without threatening the environment and health. Energy cane is the state-of-the-art of smart energy crops to provide suitable whole-raw material to produce upgraded biofuels, dehydrated alcohol for transportation, refined sugar, yeast- fermented alcoholic beverages, soft drinks, silage and high quality fodder, as well as to cogenerate heat and bioelectricity from burnt lignocellulose. We, accordingly, present fuzzy c-means (FCM) clustering algorithm interconnected with principal component analysis (PCA) as powerful exploratory data analysis tool to wisely classify hybrids of energy cane for production of first-generation ethanol and cogeneration of heat and bioelectricity. From the orthogonally-rotated factorial map, fuzzy cluster I aggregated the hybrids VX12-0277, VX12-1191, VX12-1356 and VX12-1658 composed of higher contents of soluble solids and sucrose, and larger productive yields of fermentable sugars. These parameters correlated with the X-axis component referring to technological quality of cane juice. Fuzzy cluster III aggregated the hybrids VX12-0180 and VX12-1022 consisted of higher fiber content. This parameter correlated with the Y-axis component referring to physicochemical quality of lignocellulose. From the PCA-FCM methodology, the conclusion is, therefore, hybrids from fuzzy cluster I prove to be type I energy cane (higher sucrose to fiber ratio) and co... Mostrar Tudo |
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Palavras-Chave: |
Alternative clean energy sources; Exploratory data analysis; FCM algorithm; Fiber-rich biomass; PCA. |
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Thesagro: |
Análise de Dados; Bioenergia; Biomassa; Cana de Açúcar; Etanol; Hibrido. |
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Thesaurus NAL: |
Bioenergy; Biomass; Data analysis; Ethanol; Fuzzy logic; Hybrids; Sugarcane. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206044/1/May-Classifying-Hybrids-2019.pdf
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Marc: |
LEADER 03177naa a2200457 a 4500
001 2115795
005 2019-12-05
008 2019 bl uuuu u00u1 u #d
022 $a1916-9760
100 1 $aMOREIRA, B. R. de A.
245 $aClassifying hybrids of energy cane for production of bioethanol and cogeneration of biomass-based electricity by principal component analysis-linked fuzzy c-means clustering algorithm.$h[electronic resource]
260 $c2019
520 $aAbstract: The biggest challenge facing in sugar-energy plants is to move towards the biorefinery concept, without threatening the environment and health. Energy cane is the state-of-the-art of smart energy crops to provide suitable whole-raw material to produce upgraded biofuels, dehydrated alcohol for transportation, refined sugar, yeast- fermented alcoholic beverages, soft drinks, silage and high quality fodder, as well as to cogenerate heat and bioelectricity from burnt lignocellulose. We, accordingly, present fuzzy c-means (FCM) clustering algorithm interconnected with principal component analysis (PCA) as powerful exploratory data analysis tool to wisely classify hybrids of energy cane for production of first-generation ethanol and cogeneration of heat and bioelectricity. From the orthogonally-rotated factorial map, fuzzy cluster I aggregated the hybrids VX12-0277, VX12-1191, VX12-1356 and VX12-1658 composed of higher contents of soluble solids and sucrose, and larger productive yields of fermentable sugars. These parameters correlated with the X-axis component referring to technological quality of cane juice. Fuzzy cluster III aggregated the hybrids VX12-0180 and VX12-1022 consisted of higher fiber content. This parameter correlated with the Y-axis component referring to physicochemical quality of lignocellulose. From the PCA-FCM methodology, the conclusion is, therefore, hybrids from fuzzy cluster I prove to be type I energy cane (higher sucrose to fiber ratio) and could serve as energy supply pathways to produce bioethanol, while the hybrids from fuzzy cluster III are type II energy cane (lower sucrose to fiber ratio), denoting potential as higher fiber yield biomass sources to feed cogeneration of heat and bioelectricity in high temperature and pressure furnace-boiler system.
650 $aBioenergy
650 $aBiomass
650 $aData analysis
650 $aEthanol
650 $aFuzzy logic
650 $aHybrids
650 $aSugarcane
650 $aAnálise de Dados
650 $aBioenergia
650 $aBiomassa
650 $aCana de Açúcar
650 $aEtanol
650 $aHibrido
653 $aAlternative clean energy sources
653 $aExploratory data analysis
653 $aFCM algorithm
653 $aFiber-rich biomass
653 $aPCA
700 1 $aVIANA, R. da S.
700 1 $aLISBOA, L. A. M.
700 1 $aLOPES, P. R. M.
700 1 $aFIGUEIREDO, P. A. M. de
700 1 $aRAMOS, S. B.
700 1 $aBONINI, C. S. B.
700 1 $aTRINDADE, V. D. R.
700 1 $aANDRADE, M. G. de O.
700 1 $aMAY, A.
773 $tJournal of Agricultural Science, Richmond Hill$gv. 11, n. 14, p. 246-253, 2019.
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Embrapa Meio Ambiente (CNPMA) |
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