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Support vector machine (SVM) is discussed to use for recognizing cucumber leaf diseases in this paper. Considering that it is a small number of samples, a new experimental program has been proposed which takes each spot of leaves as a sample instead of taking each leaf as a sample. In the experiments Radial Basis Function (RBF), polynomial and Sigmoid kernel function were also used to carry out comparative tests. The results showed that, the SVM method based on RBF kernel function and taking each spot as a sample made the best performance for classification of cucumber leaf diseases.
Zhang et al. (Fri,) studied this question.