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Citrus quality classification is an important and widely studied topic since it has significant role in its market price determination. Due to citrus quality indicators series nonlinearity and no-stationary, the accuracy of conventional mostly used methods including linear discriminant analysis, K-means clustering and neural network has been limited. The(More)
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