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| Registros recuperados : 17 | |
| 6. |  | GUIMARAES, C. C.; ASSIS, C.; SIMEONE, M. L. F.; SENA, M. M. Use of near-infrared spectroscopy, partial least-squares, and ordered predictors selection to predict four quality parameters of sweet sorghum juice used to produce bioethanol. Energy & Fuels, Washington, v. 30, p. 4137- 4144, 2016.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 8. | | GUIMARÃES, C. C.; ROSA, S. D. V. F. da; MALTA, M. R.; CARVALHO, M. H.; OLIVEIRA, R. M. E. Lipid content and fatty acid profile in Embryos, endosperm, and seeds of dried Coffea arabica. In: INTERNATIONAL CONFERENCE ON COFFEE SCIENCE, 26., 2016, Kunming,Yunnan, China. Proceedings... ASIC - Association for Science and Information on Coffee, 2016. p. 120.| Biblioteca(s): Embrapa Café. |
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| 10. | | SALAZAR, D. U.; DEMATTÊ, J. A. M.; VICENTE, L. E.; GUIMARAES, C. C.; PADILHA, M. C. de C.; MELLO, F. A. de O.; SOUZA, A. B. Emissividade via laboratório e satélite como abordagem na análise textural de solos. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Artigo 95977. p. 1-4.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 11. | | SALAZAR, D. U.; DEMATTÊ, J. A. M.; VICENTE, L. E.; GUIMARÃES, C. C.; SOUZA, A. B. de; INFORSATO, L.; CARVALHO, H. W. L. de. Spectral range (FRX-VIS-NIR-SWIR-MIR) interaction on the organic matter prediction. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. Trabalho 392.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 12. | | CARVALHO, M. H. de; ROSA, S. D. V. F. da; COELHO, S. V. B.; GUIMARÃES, C. C.; MARTINS, R. de S.; CLEMENTE, A. da C. S.; PAIVA, L. V. Drying of arabica coffee and its effect on the gene expression and activity of enzymes linked to seed physiological quality. Acta Scientiarum: Agronomy, v. 45, e56908, 2023.| Biblioteca(s): Embrapa Café. |
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| 13. | | GUIMARÃES, M. F. (Org).; TAVARES FILHO, J.; GUIMARÃES, C. C. M.; CASTRO FILHO, C.; VAZ, C. M. P.; MORAES, M. H.; ZIMBACH, C. R. L.; JORGE, L. A. C.; RALISCH, R. Manual de metodologias para avaliação de manejo do solo. Londrina : Editora UEL, 1999.| Biblioteca(s): Embrapa Instrumentação. |
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| 14. | | URBINA SALAZAR, D. F.; DEMATTÊ, J. A. M.; VICENTE, L. E.; GUIMARAES, C. C. B.; SAYÃO, V. M.; CERRI, C. E. P.; PADILHA, M. C. de C.; MENDES, W. de S. Emissivity of agricultural soil attributes in southeastern Brazil via terrestrial and satellite sensors. Geoderma, v. 361, article 114038, 2020.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 15. | | SANTOS, U. J. dos; DEMATTÊ, J. A. de M.; MENEZES, R. S. C.; DOTTO, A. C.; GUIMARÃES, C. C. B.; ALVES, B. J. R.; PRIMO, D. C.; SAMPA, E. V. de S. B. Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) .and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil Geoderma Regional, v. 23, e00333, December 2020.| Biblioteca(s): Embrapa Agrobiologia. |
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| 16. | | PADILHA, M. C. de C.; VICENTE, L. E.; DEMATTÊ, J. A. M.; LOEBMANN, D. G. dos S. W.; VICENTE, A. K.; URBINA SALAZAR, D. F.; GUIMARÃES, C. C. B. Using Landsat and soil clay content to map soil organic carbon of oxisols and Ultisols near São Paulo, Brazil. Geoderma Regional, v. 21, e00253, 2020.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 17. | | DEMATTÊ, J. A. M.; DOTTO, A. C.; PAIVA, A. F. S.; SATO, M. V.; DALMOLIN, R. S. D.; ARAÚJO, M. do S. B. de; SILVA, E. B. da; NANNI, M. R.; CATEN, A. ten; NORONHA, N. C.; LACERDA, M. P. C.; ARAUJO FILHO, J. C. de; RIZZO, R.; BELLINASO, H.; FRANCELINO, M. R.; SCHAEFER, C. E. G. R.; VICENTE, L. E.; SANTOS, U. J. dos; SAMPAIO, E. V. de S. B.; MENEZES, R. S. C.; SOUZA, J. J. L. L. de; ABRAHÃO, W. A. P.; COELHO, R. M.; GREGO, C. R.; LANI, J. L.; FERNANDES, A. R.; GONÇALVES, D. A. M.; SILVA, S. H. G.; MENEZES, M. D. de; CURI, N.; COUTO, E. G.; ANJOS, L. H. C. dos; CEDDIA, M. B.; PINHEIRO, E. F. M.; GRUNWALD, S.; VASQUES, G. de M.; MARQUES JÚNIOR, J.; SILVA, A. J. da; BARRETO, M. C. de V.; NÓBREGA, G. N.; SILVA, M. Z. da; SOUZA, S. F. de; VALLADARES, G. S.; VIANA, J. H. M.; TERRA, F. da S.; HORÁK-TERRA, I.; FIORIO, P. R.; SILVA, R. C. da; FRADE JÚNIOR, E. F.; LIMA, R. H. C.; FILIPPINI ALBA, J. M.; SOUZA JUNIOR, V. S. de; BREFIN, M. de L. M. S.; RUIVO, M. de L. P.; FERREIRA, T. O.; BRAIT, M. A.; CAETANO, N. R.; BRINGHENTI, I.; MENDES, W. de S.; SAFANELLI, J. L.; GUIMARÃES, C. C. B.; POPPIEL, R. R.; SOUZA, A. B. e; QUESADA, C. A.; COUTO, H. T. Z. do. The Brazilian Soil Spectral Library (BSSL): a general view, application and challenges. Geoderma, v. 354, 113793, 2019. Na publicação: Gustavo M. Vasques.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Clima Temperado; Embrapa Cocais; Embrapa Meio Ambiente; Embrapa Milho e Sorgo; Embrapa Solos. |
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| Registros recuperados : 17 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
16/11/2020 |
|
Data da última atualização: |
08/01/2021 |
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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: |
SANTOS, U. J. dos; DEMATTÊ, J. A. de M.; MENEZES, R. S. C.; DOTTO, A. C.; GUIMARÃES, C. C. B.; ALVES, B. J. R.; PRIMO, D. C.; SAMPA, E. V. de S. B. |
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Afiliação: |
Uemeson José dos Santos, UFPE; José Alexandre de Melo Demattê, Unesp - Piracicaba; Rômulo Simões Cezar Menezes, UFPE; André Carnieletto Dotto, UNESP - PIRACICABA; Clécia Cristina Barbosa Guimarães, Unesp - Piracicaba; BRUNO JOSE RODRIGUES ALVES, CNPAB; Dário Costa Primo, UFPE; Everardo Valadares de Sá Barretto Sampa, UFPE. |
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Título: |
Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) .and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Geoderma Regional, v. 23, e00333, December 2020. |
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DOI: |
https://doi.org/10.1016/j.geodrs.2020.e00333 |
|
Idioma: |
Português |
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Conteúdo: |
Determinations of soil carbon and nitrogen stocks are important to evaluate land fertility and agricultural potential and because of their influence on the global climate. Spectroscopic determinations are faster, cheaper and less pollutant than traditional methods. The potential use of spectroscopy in the visible (Vis), near infrared (NIR) and mid-infrared (MIR) regions and their combination to estimate total C and N concentrations were evaluated using seven different pre-processing and two regression models and comparing to the concentrations determined by dry combustion of 701 soil samples from different soil classes and land uses in Northeast Brazil. Better C and N concentration predictions were obtained with the MIR region than with the Vi -NIR region and no significant improvement occurred when the two spectra were combined. The support vector machine (SVM) and the partial least squares (PLSR) models had similar performances both for C and N. The multiplicative scatter correction pre-processing is recommended for C and the standard normal transformation technique for N. Equations to estimate soil C and N concentrations of the predominant soil classes in the region and of the set of all classes are provided. Their high accuracy confirm the potential of reflectance spectroscopy as a useful and rapid tool to quantify C and N concentrations in different tropical soils and under different land uses. |
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Palavras-Chave: |
Chemometrics Spectral regions. |
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Thesaurus NAL: |
Acrisols; Soil quality; Spectral analysis. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02266naa a2200265 a 4500
001 2126634
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008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.geodrs.2020.e00333$2DOI
100 1 $aSANTOS, U. J. dos
245 $aPredicting carbon and nitrogen by visible near-infrared (Vis-NIR) .and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil
260 $c2020
520 $aDeterminations of soil carbon and nitrogen stocks are important to evaluate land fertility and agricultural potential and because of their influence on the global climate. Spectroscopic determinations are faster, cheaper and less pollutant than traditional methods. The potential use of spectroscopy in the visible (Vis), near infrared (NIR) and mid-infrared (MIR) regions and their combination to estimate total C and N concentrations were evaluated using seven different pre-processing and two regression models and comparing to the concentrations determined by dry combustion of 701 soil samples from different soil classes and land uses in Northeast Brazil. Better C and N concentration predictions were obtained with the MIR region than with the Vi -NIR region and no significant improvement occurred when the two spectra were combined. The support vector machine (SVM) and the partial least squares (PLSR) models had similar performances both for C and N. The multiplicative scatter correction pre-processing is recommended for C and the standard normal transformation technique for N. Equations to estimate soil C and N concentrations of the predominant soil classes in the region and of the set of all classes are provided. Their high accuracy confirm the potential of reflectance spectroscopy as a useful and rapid tool to quantify C and N concentrations in different tropical soils and under different land uses.
650 $aAcrisols
650 $aSoil quality
650 $aSpectral analysis
653 $aChemometrics Spectral regions
700 1 $aDEMATTÊ, J. A. de M.
700 1 $aMENEZES, R. S. C.
700 1 $aDOTTO, A. C.
700 1 $aGUIMARÃES, C. C. B.
700 1 $aALVES, B. J. R.
700 1 $aPRIMO, D. C.
700 1 $aSAMPA, E. V. de S. B.
773 $tGeoderma Regional$gv. 23, e00333, December 2020.
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