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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
22/10/2020 |
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Data da última atualização: |
29/10/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SIMEONE, M. L. F.; PARRELLA, R. A. da C.; DAMASCENO, C. M. B.; SCHAFFERT, R. E. |
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Afiliação: |
MARIA LUCIA FERREIRA SIMEONE, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; CYNTHIA MARIA BORGES DAMASCENO, CNPMS; ROBERT EUGENE SCHAFFERT, CNPMS. |
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Título: |
Prediction of high-biomass sorghum quality using near infrared spectroscopy to monitoring calorific value, moisture, and ash content. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
International Journal of Development Research, v. 10, n. 9, p. 40916-40920, 2020. |
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Idioma: |
Inglês |
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Conteúdo: |
High-biomass sorghum is a crop that has great potential as a source of biomass for energy generation, due to its high productivity, drought tolerance and for being mechanizable. Thus, culture is an alternative to vegetable biomass to be used in electric energy cogeneration processes. The objective of the work was to develop multivariate calibration models, using the near infrared spectroscopy, for analysis of gross calorific value, moisture, and ash content in high-sorghum biomass. At samples were analyzed by reference methods and the results associated with the near infrared spectrum of each sample. Then they were developed for each parameter, multivariate calibration models using the partial least square (PLS) algorithm. A high correlation was obtained between the values predicted by the model and the values obtained by reference method for all properties evaluated. Ratio of prediction to deviation (RPD) and range error ratio (RER) values, respectively, above 3 and 10, for all the models constructed, thus being considered adequate for carrying out quantitative analyzes of chemical composition in the qualification of the sorghum biomass as a source of raw material for energy cogeneration and optimization of biomass conversion technologies. |
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Palavras-Chave: |
Calibração multivariada; Espectroscopia. |
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Thesagro: |
Análise de Laboratório; Biocombustível; Biomassa; Energia. |
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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/216918/1/Prediction-high.pdf
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Marc: |
LEADER 02027naa a2200229 a 4500
001 2125761
005 2020-10-29
008 2020 bl uuuu u00u1 u #d
100 1 $aSIMEONE, M. L. F.
245 $aPrediction of high-biomass sorghum quality using near infrared spectroscopy to monitoring calorific value, moisture, and ash content.$h[electronic resource]
260 $c2020
520 $aHigh-biomass sorghum is a crop that has great potential as a source of biomass for energy generation, due to its high productivity, drought tolerance and for being mechanizable. Thus, culture is an alternative to vegetable biomass to be used in electric energy cogeneration processes. The objective of the work was to develop multivariate calibration models, using the near infrared spectroscopy, for analysis of gross calorific value, moisture, and ash content in high-sorghum biomass. At samples were analyzed by reference methods and the results associated with the near infrared spectrum of each sample. Then they were developed for each parameter, multivariate calibration models using the partial least square (PLS) algorithm. A high correlation was obtained between the values predicted by the model and the values obtained by reference method for all properties evaluated. Ratio of prediction to deviation (RPD) and range error ratio (RER) values, respectively, above 3 and 10, for all the models constructed, thus being considered adequate for carrying out quantitative analyzes of chemical composition in the qualification of the sorghum biomass as a source of raw material for energy cogeneration and optimization of biomass conversion technologies.
650 $aAnálise de Laboratório
650 $aBiocombustível
650 $aBiomassa
650 $aEnergia
653 $aCalibração multivariada
653 $aEspectroscopia
700 1 $aPARRELLA, R. A. da C.
700 1 $aDAMASCENO, C. M. B.
700 1 $aSCHAFFERT, R. E.
773 $tInternational Journal of Development Research$gv. 10, n. 9, p. 40916-40920, 2020.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
29/12/2014 |
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Data da última atualização: |
03/06/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
NELSON, B.; TAVARES, J.; WU, J.; VALERIANO, D.; LOPES, A.; MAROSTICA, S.; MARTINS, G.; PROHASKA, N.; ALBERT, L.; ARAUJO, A. de; MANZI, A.; SALESKA, S.; HUETE, A. |
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Afiliação: |
Bruce Nelson, INPA; Julia Tavares, INPA; Jin Wu, University of Arizona; Dalton Valeriano, INPE; Aline Lopes, INPA; Suelen Marostica, INPA; Giordane Martins, INPA; Neill Prohaska, University of Arizona; Loren Albert, University of Arizona; ALESSANDRO CARIOCA DE ARAUJO, CPATU; Antonio Manzi, INPA; Scott Saleska, University of Arizona; Alfredo Huete, University of Technology Sydney. |
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Título: |
Seasonality of Central Amazon Forest Leaf Flush Using Tower-Mounted RGB Camera. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: AGU FALL MEETING, 2014, San Francisco. [Proceedings]. [San Francisco]: AGU, 2014. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Amazon; Sazonalidade; Seasonality. |
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Thesagro: |
Fotossíntese. |
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Thesaurus NAL: |
Amazonia; photosynthesis. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/114608/1/2014AGUFallMeeting1.pdf
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Marc: |
LEADER 00866nam a2200313 a 4500
001 2003887
005 2022-06-03
008 2014 bl uuuu u00u1 u #d
100 1 $aNELSON, B.
245 $aSeasonality of Central Amazon Forest Leaf Flush Using Tower-Mounted RGB Camera.$h[electronic resource]
260 $aIn: AGU FALL MEETING, 2014, San Francisco. [Proceedings]. [San Francisco]: AGU$c2014
650 $aAmazonia
650 $aphotosynthesis
650 $aFotossíntese
653 $aAmazon
653 $aSazonalidade
653 $aSeasonality
700 1 $aTAVARES, J.
700 1 $aWU, J.
700 1 $aVALERIANO, D.
700 1 $aLOPES, A.
700 1 $aMAROSTICA, S.
700 1 $aMARTINS, G.
700 1 $aPROHASKA, N.
700 1 $aALBERT, L.
700 1 $aARAUJO, A. de
700 1 $aMANZI, A.
700 1 $aSALESKA, S.
700 1 $aHUETE, A.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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