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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
21/02/2014 |
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Actualizado : |
04/03/2022 |
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Autor : |
CUNHA, J. |
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Título : |
Información sobre financiación de cultivos brindada por BROU. |
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Fecha de publicación : |
1999 |
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Fuente / Imprenta : |
ln: Jornada de cultivos de verano 1999: INIA,1999. |
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Páginas : |
p. 83. |
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Serie : |
(INIA Serie Actividades de Difusión ; 197). |
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Idioma : |
Español |
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Palabras claves : |
CREDITOS; GIRASOL; MAIZ; SOJA; SORGO. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 00513naa a2200193 a 4500
001 1044104
005 2022-03-04
008 1999 bl uuuu u00u1 u #d
100 1 $aCUNHA, J.
245 $aInformación sobre financiación de cultivos brindada por BROU.
260 $c1999
300 $ap. 83.
490 $a(INIA Serie Actividades de Difusión ; 197).
653 $aCREDITOS
653 $aGIRASOL
653 $aMAIZ
653 $aSOJA
653 $aSORGO
773 $tln: Jornada de cultivos de verano 1999: INIA,1999.
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Registro original : |
INIA La Estanzuela (LE) |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
05/02/2020 |
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Actualizado : |
05/02/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 1 |
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Autor : |
CORBELLA, E.; COZZOLINO, D. |
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Afiliación : |
EDUARDO DANIEL CORBELLA GONZALEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Australian Wine Research Institute, Waite Road, Adelaide, SA, Australia. |
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Título : |
The use of visible and near infrared spectroscopy to classify the floral origin of honey samples produced in Uruguay. [Short Communication]. |
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Fecha de publicación : |
2005 |
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Fuente / Imprenta : |
Journal of Near Infrared Spectroscopy, 2005, Volume 13 Issue 2, Pages 63-68. |
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ISSN : |
0967-0335 |
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DOI : |
10.1255/jnirs.458 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 18 June 2004 / Revised: 4 April 2005 / Accepted: 7 April 2005 / Web Publication: 29 July 2005. |
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Contenido : |
ABSTRACT.
This study reports the use of visible (vis) and near infrared (NIR) spectroscopy as a tool to classify honey samples from Uruguay, according to their floral origin. Classification models were developed using principal component analysis, discriminant partial least squares (DPLS) regression and linear discriminant analysis (LDA). Honey samples (n = 50) from two floral origins, namely Eucalyptus spp. and pasture, were split randomly into even calibration (n = 25) and validation sets (n = 25). Both LDA and DPLS models correctly classified, on average, more than 75% of the honey samples belonging to pasture and more than 85% of the honey samples belonging to Eucalyptus spp. These results showed that vis-NIR might be a suitable and alternative method that can easily be implemented by both the industry and retailers to classify samples according their floral origin. Vis-NIR analysis requires little sample preparation and is rapid. However, the relatively limited number of samples involved in the present work led us to be cautious in terms of extrapolating the results of this work to other floral types. © NIR Publications 2005. |
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Palabras claves : |
DPLS; Floral origin; Honey; LDA; Near infrared spectroscopy; Partial least squares discrimination; Visible, classifi cation. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
LEADER 02075naa a2200253 a 4500
001 1060770
005 2020-02-05
008 2005 bl uuuu u00u1 u #d
022 $a0967-0335
024 7 $a10.1255/jnirs.458$2DOI
100 1 $aCORBELLA, E.
245 $aThe use of visible and near infrared spectroscopy to classify the floral origin of honey samples produced in Uruguay. [Short Communication].$h[electronic resource]
260 $c2005
500 $aArticle history: Received: 18 June 2004 / Revised: 4 April 2005 / Accepted: 7 April 2005 / Web Publication: 29 July 2005.
520 $aABSTRACT. This study reports the use of visible (vis) and near infrared (NIR) spectroscopy as a tool to classify honey samples from Uruguay, according to their floral origin. Classification models were developed using principal component analysis, discriminant partial least squares (DPLS) regression and linear discriminant analysis (LDA). Honey samples (n = 50) from two floral origins, namely Eucalyptus spp. and pasture, were split randomly into even calibration (n = 25) and validation sets (n = 25). Both LDA and DPLS models correctly classified, on average, more than 75% of the honey samples belonging to pasture and more than 85% of the honey samples belonging to Eucalyptus spp. These results showed that vis-NIR might be a suitable and alternative method that can easily be implemented by both the industry and retailers to classify samples according their floral origin. Vis-NIR analysis requires little sample preparation and is rapid. However, the relatively limited number of samples involved in the present work led us to be cautious in terms of extrapolating the results of this work to other floral types. © NIR Publications 2005.
653 $aDPLS
653 $aFloral origin
653 $aHoney
653 $aLDA
653 $aNear infrared spectroscopy
653 $aPartial least squares discrimination
653 $aVisible, classifi cation
700 1 $aCOZZOLINO, D.
773 $tJournal of Near Infrared Spectroscopy, 2005, Volume 13 Issue 2, Pages 63-68.
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