According to the features of color texture image of plant disease,recognition of plant disease using support vector machine (SVM) and chromaticity moments was introduced. At first,extracting features of chromaticity moments was done,then classification method of SVM for recognition of plant disease was discussed. Experimentation with cucumber disease was conducted and the results proved that chromaticity moments is simple,efficient,and effective for recognition of plant disease image,and the SVM method has ...
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