Disease Detection in Apple Tree Leaves Using CNN Algorithms

Abstract

The early identification of diseases among plants and trees is extremely important. Agriculture sector can be uplifted by early detection of plant related diseases. The present research focuses on diseases concerning apple tree leaves. This research article suggests a Convolutional neural network-based model to classify the images of apple tree leaves as diseased and non diseased. A combination of convolution, relu and max pooling layer was considered while constructing the CNN model. The task represents a binary classification problem. The suggested model performs efficiently on the dataset considered with an accuracy of 91.11%.