Mango Leaf Diseases Using Deep Learning

Plant disease, especially crop plants, is a major threat to global food security since many diseases directly affect the quality of the fruits, grains, and so on, leading to a decrease in agricultural productivity. Farmers have to observe and determine whether a leaf was infected by naked eyes. This process is unreliable, inconsistent, and error prone. Several works on deep learning techniques for detecting leaf diseases had been proposed. Most of them built their models based on limited resolution images using convolutional neural networks (CNNs). In this research, we aim at detecting early disease on mango plant leaves using Deep learning and machine learning approach. After a pre-processing step we will be using the SVM which is a machine learning and CNN algorithm which is a deep learning algorithm. Once after training with this we will be checking the outputs by giving input image and then comparing the algorithms.

KEYWORDS: CNN, SVM Deep Learning