Cultivar classification of Apulian olive oils: Use of artificial neural networks for comparing NMR, NIR and merceological data
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Cultivar discriminating ability of ANNs on Apulian monocultivar EVOOs was studied.

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Merceological, NIR and 1H NMR data were used as ANNs training sets.

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ANN models based on NMR data showed the highest accuracy in classifying cultivars.

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The most information about cultivars was contained in very few NMR peaks.

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Performance was not influence by the milling method nor the crop year.

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