Pattern recognition analysis applied to classification of honeys from two geographic origins

Eleven legal parameters of quality control of honey were determined in 67 honey samples from Galicia (northwestern Spain) which were obtained from two production areas: Lugo and Orense. Classification of these honeys according to their geographic origin was achieved by pattern recognition techniques...

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Veröffentlicht in:Journal of agricultural and food chemistry 1993-04, Vol.41 (4), p.560-564
Hauptverfasser: Pena Crecente, R, Herrero Latorre, C
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container_title Journal of agricultural and food chemistry
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creator Pena Crecente, R
Herrero Latorre, C
description Eleven legal parameters of quality control of honey were determined in 67 honey samples from Galicia (northwestern Spain) which were obtained from two production areas: Lugo and Orense. Classification of these honeys according to their geographic origin was achieved by pattern recognition techniques to the chemical data. Humidity and free acidity were found to be the most important features for the classification. In this case the use of pollen data to achieve a correct geographic classification of the honey samples is not necessary
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ispartof Journal of agricultural and food chemistry, 1993-04, Vol.41 (4), p.560-564
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source ACS Publications
subjects ACIDEZ
ACIDITE
ALIMENTOS
ANALISIS ESTADISTICO
ANALYSE STATISTIQUE
Apidae
Apis mellifera
Biological and medical sciences
CALIDAD
CLASIFICACION
CLASSIFICATION
Confectionery products and chocolate industries, honey
CONTROL DE CALIDAD
CONTROLE DE QUALITE
ESPAGNE
ESPANA
Food industries
Fundamental and applied biological sciences. Psychology
HUMEDAD
HUMIDITE
Hymenoptera
MIEL
PROCEDENCIA
PRODUIT ALIMENTAIRE
PROVENANCE
QUALITE
title Pattern recognition analysis applied to classification of honeys from two geographic origins
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