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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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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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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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
18/06/2015 |
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Actualizado : |
18/06/2015 |
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Tipo de producción científica : |
Informes Agroclimáticos |
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Autor : |
CASTAÑO, J.; GIMENEZ, A.; FUREST, J.; AUNCHAYNA, R. |
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Afiliación : |
JOSE PEDRO CASTAÑO SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; AGUSTIN EDUARDO GIMENEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE MARIA FUREST CROCCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROSSINA MARIANA AUNCHAYNA REILLY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Informe Agroclimático 2010 - Situación a Mayo. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2010. |
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Páginas : |
4 p. |
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Idioma : |
Español |
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Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICOS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
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Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
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Asunto categoría : |
P40 Meteorología y climatología |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4679/1/Inf.Agr.-mayo-2010.pdf
http://www.inia.uy/Publicaciones/Paginas/publicacion-2065.aspx
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Marc : |
LEADER 02038nam a2200781 a 4500
001 1052831
005 2015-06-18
008 2010 bl uuuu u0uu1 u #d
100 1 $aCASTAÑO, J.
245 $aInforme Agroclimático 2010 - Situación a Mayo.$h[electronic resource]
260 $aMontevideo (Uruguay): INIA$c2010
300 $a4 p.
650 $aAGROCLIMATOLOGIA
650 $aCAMBIO CLIMATICO
650 $aCLIMA
650 $aCLIMATOLOGIA
650 $aESTACIONES METEOROLOGICAS
650 $aESTRES HIDRICO
650 $aEVAPORACION
650 $aEVAPOTRANSPIRACION
650 $aHUMEDAD
650 $aHUMEDAD RELATIVA
650 $aLLUVIA
650 $aMETEOROLOGIA
650 $aPERSPECTIVAS
650 $aPLUVIOMETROS
650 $aPRONOSTICO DEL TIEMPO
650 $aSENSORES
650 $aSISTEMAS
650 $aSISTEMAS DE INFORMACION
650 $aSUELO
650 $aTEMPERATURA
650 $aTERMOMETROS
653 $aAGROCLIMA
653 $aAGROCLIMATOLOGÍA
653 $aBOLETIN AGROCLIMÁTICO
653 $aCARACTERIZACIÓN AGROCLIMÁTICA
653 $aDIRECCION VIENTO
653 $aESTACIONES AGROMETEOROLOGICAS
653 $aESTACIONES AUTOMATICAS
653 $aESTACIONES INIA
653 $aESTADO DEL TIEMPO
653 $aESTRÉS HÍDRICO
653 $aGRAFICAS AGROCLIMATICOS
653 $aGRAS
653 $aHELIOFANOGRAFO
653 $aINFORMACION SATELITAL
653 $aINUNDACIONES
653 $aLLUVIAS DIARIAS
653 $aMAXIMA
653 $aMEDIA
653 $aMINIMA
653 $aPANEL SOLAR
653 $aPERSPECTIVAS CLIMATICAS
653 $aPLUVIOMETRO
653 $aPRECIPITACION NACIONAL
653 $aPREVENCION HELADAS
653 $aPRONOSTICO
653 $aSENSOR
653 $aSIMETRICO
653 $aTANQUE A
653 $aTERMOCUPLAS
653 $aTERMOHIDROGRAFO
653 $aVARIABLES AGROCLIMATICAS
653 $aVELETA
700 1 $aGIMENEZ, A.
700 1 $aFUREST, J.
700 1 $aAUNCHAYNA, R.
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