A novel method for enhancing the accuracy in plant leaf disease detection using convolution neural network over fuzzy classifier

The main objective of this research is to enhance the accuracy of plant disease classification by processing leaf images. This article consists of 2 groupsi.e Convolutional Neural Network (CNN) and Fuzzy Classifier with a sample size of 10 for each group. G Power software is used to determine sample size with a pretest power value is 0.8 and alpha 0.05. The Novel Convolution Neural Network and the Fuzzy algorithms were implemented and compared accuracy results. Convolution Neural Network appears to be more significant with 92.48% accuracy than Fuzzy Classifier with 82%. The CNN map appears to perform significantly better than the Fuzzy with the value of p=0.19. The result shows that the Convolution Neural Network algorithm’s accuracy was better than other machine learning algorithms in Plant disease classification.