Classification of Leaf Diseases Using Modified Genetic Algorithm and Normalized Sum Square Deviation

In real world scenario, large number of features represents a data, but all these features are not useful.In this paper,hybrid algorithm comprising of modified genetic algorithm (GA) for segmentation andnormalised sum square deviation (NSSD) for feature selection is proposed. The proposed algorithm is tested one standard dataset, which gives an average accuracy of 94.3% for neural network classifier. Keywords: Classification, segmentation, feature selection, neural network