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| Registros recuperados : 14 | |
| 2. |  | SILVA, W.C.; RIBEIRO, J.d.; SOUZA, H.E.M.de; CORREA, R.da S. Atividade inseticida de Piper aduncum L. (Piperaceae) sobre Aetalion sp. (Hemiptera: Aetalionidae), praga de importancia economica no Amazonas. Acta Amazonica, Manaus, v. 37, n. 2, p. 293-298, jun. 2007.| Biblioteca(s): Epagri-Sede. |
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| 3. | | COSTA, D. A.; CHAVES, M. H.; SILVA, W. C. S.; COST, C. L. S. Constituintes químicos, fenóis totais e atividade antioxidante de Sterculia striata St. Hil. et Naudin. Acta Amazonica, Manaus, v. 40, n. 1, p. 207-212, mar. 2010.| Biblioteca(s): Epagri-Sede. |
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| 8. | | LIMA, L. A.; CRUZ FILHO, R. F.; SANTOS, J. G. dos; SILVA, W. C. Produção de protease colagenolítica por Bacillus stearothermophillus de solo amazônico. Acta Amazonica, Manaus, AM, v. 44, n. 4, p. 403-409, dez. 2014.| Biblioteca(s): Epagri-Sede. |
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| 10. | | SILVA, W. C. da; MARAGON, L. C.; FERREIRA, R. L. C.; FELICIANO, A. L. P.; COSTA JUNIOR, R. F. estudo da regeneracao natural de especies arboreas em fragmento de floresta ombrofila densa, mata das galinhas, no municipio de Catende, zona da mata sul de Pernambuco. Ciencia Florestal, Santa Maria, v. 17, n. 3, p. 321-331, jul./set. 2007.| Biblioteca(s): Epagri-Sede. |
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| 11. | | SILVA, E. B.; CATEN, A. T.; DALMMOLIN, R. S. D.; DOTTO, A. C.; SILVA, W. C.; GIASSON, E. Modeling soil texture using a limited region of the visible/near infrared spectra. In: INAUGURAL GLOBAL WORKSHOP ON DIGITAL SOIL MORPHOMETRICS, 1., 2015, Madison, Wisconsin USA. Abstracts... Madison, Winsconsin: University of Wisconsin-Madison, 2015. p. 15| Biblioteca(s): Epagri-Sede. |
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| 12. | | HAMAKAWA, P. J.; FERREIRA, W. P. M.; OLIVEIRA, R. A. de; SILVA, W. C. M. da; SANTOS, R. S. dos. Zoneamento agrícola de pastagens para o estado de Minas Gerais. Informe Agropecuário, Belo Horizonte, MG, v. 33, n. 266, p. 7-16, jan./fev. 2012.| Biblioteca(s): Epagri-Sede. |
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| 13. | | COSTA JUNIOR, R. F.; FERREIRA, R. L. C.; RODAL, M. J. N.; FELICIANO, A. L. P.; MARANGON, L. C.; SILVA, W. C. da. Estrutura fitossociológica do componente arbóreo de um fragmento de Floresta Ombrófila Densa na mata sul de Pernambuco, nordeste do Brasil. Ciência Florestal, Santa Maria, v. 18, n. 1/2, p. 173-183, jan./mai. 2008.| Biblioteca(s): Epagri-Sede. |
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| 14. | | SILVA, W. C. P.; ESPOSTO, E. de M.; LAZARO, N. dos S.; REIS, E. M. F. dos; RODRIGUES, D. dos P. Salmonella spp. em figado e cortes de frangos comercializados em areas do municipio do Rio de Janeiro, RJ. Revista higiene Alimentar, Sao Paulo, v. 20, n. 142, p. 124-131, jul. 2006.| Biblioteca(s): Epagri-Sede. |
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| Registros recuperados : 14 | |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
30/06/2016 |
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Data da última atualização: |
30/06/2016 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
SILVA, E. B.; CATEN, A. T.; DALMOLIN, R. S. D.; DOTTO, A. C.; SILVA, W. C.; GIASSON, E. |
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Título: |
Estimating Soil Texture from a Limited Region of the Visible/Near-Infrared Spectrum. |
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Edição: |
1. Ed. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: Hartemink, A. E.; Minasny, B. Progress in Soil Science: Digital Soil Morphometrics. 1. ed. Suiça: Springer International Publishing, 2016. p. 73-87. |
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Idioma: |
Inglês |
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Conteúdo: |
Soil particle size is an attribute of fundamental importance when defining soil horizons. Proximal soil sensors can facilitate the acquisition of a larger amount of soil data using a faster and less-laborious technique. Thus, the objective of this study is to evaluate the capacity of a limited spectral acquisition region (325-1075 nm) for estimating soil texture. Soil samples were collected in the southwest part of Marombas river watershed located near the center of Santa Catarina state, south of Brazil. A total of 42 soil profiles were sampled according to the Globalsoilmap specification. A data set of 166 samples was used for model calibration and a different data set, 71 samples, was used for model validation. Diffuse reflectance spectroscopy of sieved samples (2 mm) was collected with a spectrometer FieldSpecHandHeld II (ASD Inc.). Savitzky-Golay second derivatives were calculated and used in partial least-squares regression modeling. Calibration and validation data setshowed statistically similar mean and variance. The root mean square error of prediction for sand, silt and clay content are 5.47, 5.18 and 5.39 g 100g-1, respectively. The R² for validation are 0.30, 0.59 and 0.69 for the same attributes. Partitioning the model by depth did not improve the predictions significantly. The results show that estimating soil texture from a limited spectral region is promising and can contribute towards the development of cheaper spectrometers or infrared cameras that can be used for digital soil morphometrics. MenosSoil particle size is an attribute of fundamental importance when defining soil horizons. Proximal soil sensors can facilitate the acquisition of a larger amount of soil data using a faster and less-laborious technique. Thus, the objective of this study is to evaluate the capacity of a limited spectral acquisition region (325-1075 nm) for estimating soil texture. Soil samples were collected in the southwest part of Marombas river watershed located near the center of Santa Catarina state, south of Brazil. A total of 42 soil profiles were sampled according to the Globalsoilmap specification. A data set of 166 samples was used for model calibration and a different data set, 71 samples, was used for model validation. Diffuse reflectance spectroscopy of sieved samples (2 mm) was collected with a spectrometer FieldSpecHandHeld II (ASD Inc.). Savitzky-Golay second derivatives were calculated and used in partial least-squares regression modeling. Calibration and validation data setshowed statistically similar mean and variance. The root mean square error of prediction for sand, silt and clay content are 5.47, 5.18 and 5.39 g 100g-1, respectively. The R² for validation are 0.30, 0.59 and 0.69 for the same attributes. Partitioning the model by depth did not improve the predictions significantly. The results show that estimating soil texture from a limited spectral region is promising and can contribute towards the development of cheaper spectrometers or infrared cameras that can be us... Mostrar Tudo |
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Palavras-Chave: |
diffuse reflectance spectroscopy; digital soil morphometrics; proximal soil sensing; soil attribute; soil reflectance. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02384naa a2200253 a 4500
001 1125212
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100 1 $aSILVA, E. B.
245 $aEstimating Soil Texture from a Limited Region of the Visible/Near-Infrared Spectrum.$h[electronic resource]
250 $a1. Ed.
260 $c2016
520 $aSoil particle size is an attribute of fundamental importance when defining soil horizons. Proximal soil sensors can facilitate the acquisition of a larger amount of soil data using a faster and less-laborious technique. Thus, the objective of this study is to evaluate the capacity of a limited spectral acquisition region (325-1075 nm) for estimating soil texture. Soil samples were collected in the southwest part of Marombas river watershed located near the center of Santa Catarina state, south of Brazil. A total of 42 soil profiles were sampled according to the Globalsoilmap specification. A data set of 166 samples was used for model calibration and a different data set, 71 samples, was used for model validation. Diffuse reflectance spectroscopy of sieved samples (2 mm) was collected with a spectrometer FieldSpecHandHeld II (ASD Inc.). Savitzky-Golay second derivatives were calculated and used in partial least-squares regression modeling. Calibration and validation data setshowed statistically similar mean and variance. The root mean square error of prediction for sand, silt and clay content are 5.47, 5.18 and 5.39 g 100g-1, respectively. The R² for validation are 0.30, 0.59 and 0.69 for the same attributes. Partitioning the model by depth did not improve the predictions significantly. The results show that estimating soil texture from a limited spectral region is promising and can contribute towards the development of cheaper spectrometers or infrared cameras that can be used for digital soil morphometrics.
653 $adiffuse reflectance spectroscopy
653 $adigital soil morphometrics
653 $aproximal soil sensing
653 $asoil attribute
653 $asoil reflectance
700 1 $aCATEN, A. T.
700 1 $aDALMOLIN, R. S. D.
700 1 $aDOTTO, A. C.
700 1 $aSILVA, W. C.
700 1 $aGIASSON, E.
773 $tIn: Hartemink, A. E.; Minasny, B. Progress in Soil Science: Digital Soil Morphometrics. 1. ed. Suiça: Springer International Publishing, 2016. p. 73-87.
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