Differentiation of mangoes (Magnifera indica L.) conventional and organically cultivated according to their mineral content by using support vector machines

Mangoes of uniform genetics (Lippens variety) cultivated in the Gomera Island (Canary Islands) by conventional and organic farming were used to analyze the mineral content in order to differentiate crops cultivated in the same geographic area by the cultivation practices. Farming differences as well...

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Bibliographic Details
Published in:Talanta (Oxford) 2012-08, Vol.97, p.325-330
Main Authors: Hernández-Sánchez, C., Luis, G., Moreno, I., Cameán, A., González, A.G., González-Weller, D., Castilla, A., Gutiérrez, A., Rubio, C., Hardisson, A.
Format: Article
Language:English
Subjects:
Analytical chemistry
Atomic absorption analysis
Chemistry
Classification
Cultivars
Discriminant Analysis
Exact sciences and technology
Farming
Mangifera - chemistry
Mangifera - growth & development
Mangoes
Mathematical models
Metal content
Minerals
Minerals - analysis
Organic Agriculture
Pattern recognition
Spectrometric and optical methods
Spectroscopy
Support Vector Machine
Support vector machines
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Summary:Mangoes of uniform genetics (Lippens variety) cultivated in the Gomera Island (Canary Islands) by conventional and organic farming were used to analyze the mineral content in order to differentiate crops cultivated in the same geographic area by the cultivation practices. Farming differences as well as soil differences may be reflected in the mineral content of the mangoes cultivated in these extensions. Concentration metal profiles consisting of the content of Ca, Co, Cu, Fe, K, Mg, Mn, Na, Ni and Zn in mangoes were obtained by using atomic absorption spectrometry (AAS). Pattern recognition classification procedures were applied for discriminating purposes. Linear discriminant analysis (LDA) allows to a classification performance of about 73% and support vector machines (SVM) found up to a 93% of prediction ability. The classification success when applying support vector machines techniques is due to their ability for modeling non-linear class boundaries. ► Concentration of Ca, Co, Cu, Fe, K, Mg, Mn, Na, Ni and Zn in mangoes were obtained by AAS. ► The aim of this job was to differentiate between conventional and organic cultivating. ► Pattern recognition classification procedures were applied for discriminating purposes. ► LDA and SVM allows to a classification performance of 73% and 93% of prediction ability.
ISSN:0039-9140
1873-3573
DOI:10.1016/j.talanta.2012.04.038