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Registros recuperados : 20 | |
1. | | LOPES, C. J.; CAMPOS, A. A.; VIANA, R. da S.; SOUZA, J. C. A. V. de. Germinação de sementes de melancia em solo de mineração tratado com adubo orgânico e NPK. Horticultura Brasileira, Brasília, v. 22, n. 2, jul. 2004. Suplemento 2. CD-ROM. Trabalho apresentado no 44º Congresso Brasileiro de Olericultura, 2004. Publicado também como resumo em: Horticultura Brasileira, Brasília, v. 22, n. 2, p. 363, jul. 2004. Suplemento 1. Biblioteca(s): Embrapa Hortaliças. |
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5. | | VIANA, R. da S.; MAY, A.; MOREIRA, B. R. de A.; CRUZ, V. H.; VIEIRA JUNIOR, N. A.; SILVA, E. H. F. M. da; SIMEONE, M. L. F. Addition of glycerol to agroindustrial residues of bioethanol for fuel-flexible agropellets: fundamental fuel properties, combustion, and potential slagging and fouling from residual ash. Industrial Crops and Products, v. 192, 116134, 2023. Biblioteca(s): Embrapa Meio Ambiente; Embrapa Milho e Sorgo. |
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6. | | MAY, A.; COELHO, L. F.; SILVA, E. H. F. M. da; VIANA, R. da S.; VIEIRA JUNIOR, N. A.; FERREIRA, W. P. M. Graphene: A new technology for agriculture. Research, Society and Development, v. 10, n. 2, e56610212827, 2021. p. 1-11. Biblioteca(s): Embrapa Meio Ambiente. |
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7. | | VIANA, R. da S.; MOREIRA, B. R. de A.; MAY, A.; MIASAKI, C. T.; CARASCHI, J. C.; ANDRADE, M. G. de O. Juice technological quality, lignocellulosic physical-chemical attributes and biomass yield from energy cane clones. Australian Journal of Crop Science, v. 13, n. 5, p. 746-752, 2019. Biblioteca(s): Embrapa Meio Ambiente. |
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8. | | MAY, A.; RAMOS, N. P.; SANTOS, M. S. dos; SILVA, E. H. F. M. da; ROSSI, P.; VIANA, R. da S. Pre-sprouted seedlings production methods through buds or mini-stems: emergence and initial development of sugarcane cultivars. Científica, v. 46, n. 4, p. 403-411, 2018. Biblioteca(s): Embrapa Meio Ambiente. |
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9. | | MAY, A.; SILVA, E. H. F. M. da; SANTOS, M. de S. dos; VIANA, R. da S.; SANTOS, F. C. dos; ALBUQUERQUE FILHO, M. R. de. Use of biomass sorghum for the bioremediation of heavy metal-contaminated environments. Research, Society and Development, v. 9, n. 9, e95996770, 2020. Biblioteca(s): Embrapa Meio Ambiente; Embrapa Milho e Sorgo. |
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10. | | 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. 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. Journal of Agricultural Science, Richmond Hill, v. 11, n. 14, p. 246-253, 2019. Biblioteca(s): Embrapa Meio Ambiente. |
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11. | | SANTOS, M. G. B. dos; COSTA, C. R.; PAIVA, A. B.; MENDES, G. de O.; MARTINS, E. de S.; MARCHI, G.; VIANA, R. da S. R.; FIGUEIREDO, C. C. de. Ácido oxálico aumenta a solubilização de potássio de biocarvão de lodo de esgoto. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 7., 2023, Brasília, DF. Anais... Brasília, DF: Embrapa, 2023. p. 238-242. Biblioteca(s): Embrapa Cerrados. |
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12. | | MOREIRA, B. R. de A.; VIANA, R. da S.; CRUZ, V. H.; LOPES, P. R. M.; MIASAKI, C. T.; MAGALHÃES, A. C.; FIGUEIREDO, P. A. M. de; LISBOA, L. A. M.; RAMOS, S. B.; MAY, A.; CARASCHI, J. C. Anti-thermal shock binding of liquid-state food waste to non-wood pellets. Energies, v. 13, n. 12, article 3280, 2020. p. 1-26. Biblioteca(s): Embrapa Meio Ambiente. |
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13. | | MOREIRA, B. R. de A.; VIANA, R. da S.; FIGUEIREDA, P. A. M. de; LISBOA, L. A. M.; MIASAKI, C. T.; MAGALHÃES, A. C.; RAMOS, S. B.; VIANA, C. R. de A.; TRINDADE, V. D. R.; MAY, A. Glyphosate plus carboxylic compounds boost activity of free radical-scavenging enzymes in sugarcane. Agriculture, v. 10, n. 4, article 106, 2020. p. 1-12. Biblioteca(s): Embrapa Meio Ambiente. |
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14. | | MAY, A.; FERREIRA, W. P. M.; VIANA, R. da S.; VILELA, E. S. D.; SILVA, E. H. F. M. da; VIEIRA JUNIOR, N. A.; HIRANO, R. T.; SANTOS, M. de S. dos; MOREIRA, B. R. de A. Development of coffee plant under different doses of an amino acid-based organomineral product. International Journal of Science and Research, v. 9, n. 5, p. 1267-1271, May 2020. Biblioteca(s): Embrapa Café; Embrapa Meio Ambiente. |
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15. | | MAY, A.; MOREIRA, B. R. de A.; MASCARIN, G. M.; VIANA, R. da S.; SANTOS, M. S. dos; SILVA, E. H. F. M.; RAMOS, N. P.; MELO, I. S. de. Induction of drought tolerance by inoculation of Bacillus aryabhattai on sugarcane seedlings. Científica, v. 47, n. 4, p. 400-410, 2019. Biblioteca(s): Embrapa Meio Ambiente. |
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16. | | MOREIRA, B. R. de A.; VIANA, R. da S.; LISBOA, L. A. M.; LOPES, P. R. M.; FIGUEIREDO, P. A. M.; RAMOS, S. B.; BONINI, C. S. B.; TRINDADE, V. D. R.; ANDRADE, M. G. de O.; MAY, A. Jasmonic acid and K-phosphite enhance productivity and technological quality of sugarcane crop. Journal of Agricultural Science, v. 11, n. 14, p. 254-264, 2019. Biblioteca(s): Embrapa Meio Ambiente. |
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17. | | MAY, A.; SILVA, E. H. F. M. da; VIEIRA JUNIOR, N. A.; VILELA, E. S. D.; SANTOS, M. de S.; COELHO, L. F.; PEDRINHO, A.; BATISTA, B. D.; VIANA, R. da S. Soybean extracts can improve plant development. Scientia Agricola, v. 80, e20210102, 2023. Biblioteca(s): Embrapa Meio Ambiente. |
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18. | | VIANA, R. da S.; LISBOA, L. A. M.; FIGUEIREDO, P. A. M.; RAMOS, S. B.; FERRARI, S.; MAY, A.; PRADO, E. P.; MIASAKI, C. T.; FERREIRA, I. S.; BRENHA, J. A. M. Productivity and biochemical characteristics of sugarcane when submitted to the action of chemical ripeners. Australian Journal of Basic and Applied Sciences, v. 13, n. 2, p. 64-71, 2019. Biblioteca(s): Embrapa Meio Ambiente. |
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19. | | MOREIRA, B. R. de A.; VIANA, R. da S.; FAVATO, V. L.; FIGUEIREDO, P. A. M. de; LISBOA, L. A. M.; MIASAKI, C. T.; MAGALHÃES, A. C.; RAMOS, S. B.; VIANA, C. R. de A.; TRINDADE, V. D. R.; MAY, A. Azospirillum brasilense can impressively improve growth and development of Urochloa brizantha under irrigation. Agriculture, v. 10, n. 6, article 220, 2020. Special issue. p. 1-13. Biblioteca(s): Embrapa Meio Ambiente. |
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20. | | MOREIRA, B. R. de A.; VIANA, R. da S.; CRUZ, V. H.; MAGALHÃES, A. C.; MIASAKI, C. T.; FIGUEIREDO, P. A. M. de; LISBOA, L. A. M.; RAMOS, S. B.; JUÁREZ SÁNCHEZ, D. E.; TEIXEIRA FILHO, M. C. M.; MAY, A. Second-generation lignocellulosic supportive material improves atomic ratios of C:O and H:O and thermomechanical behavior of hybrid non-woody pellets. Molecules, v. 25, n. 18, article 4219, 2020. p. 1-16. Biblioteca(s): Embrapa Meio Ambiente. |
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Registros recuperados : 20 | |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
03/12/2019 |
Data da última atualização: |
05/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
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. |
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. |
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. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Journal of Agricultural Science, Richmond Hill, v. 11, n. 14, p. 246-253, 2019. |
ISSN: |
1916-9760 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Alternative clean energy sources; Exploratory data analysis; FCM algorithm; Fiber-rich biomass; PCA. |
Thesagro: |
Análise de Dados; Bioenergia; Biomassa; Cana de Açúcar; Etanol; Hibrido. |
Thesaurus NAL: |
Bioenergy; Biomass; Data analysis; Ethanol; Fuzzy logic; Hybrids; Sugarcane. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206044/1/May-Classifying-Hybrids-2019.pdf
|
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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