Banana Leaf Disease Classification And Prediction Using Deep Learning Techniques

Abstract

Machine Learning methods are popularly used for patter recognition. The techniques of machine learning are useful to predict based on training process. Image classification is the fundamental task of computer vision field and machine learning methods are providing accurate results using powerful techniques. Deep learning is the best technique for image classification which contains various method to attain the prediction process. The performance of deep learning measured by the results produced by techniques which handles the raw images. The LeNet architecture of Convolutional Neural Network method and Effectiveness of Transfer Learning process are explored in this work. The methodology used for image classification is evaluated using performance measures to assure the accuracy of convolutional neural network for banana plant disease classification.