Banana Leaf Disease Detection Using Deep Learning Approach

Abstract: India is an agriculture based country. A major part of population depend on agriculture for their income. In such a case, where agriculture is important for survival, plant diseases are a real problem and prove to be an obstacle in the way of farmers. In some cases, a majority of yield has to face damage because of late detection of diseases. This has a direct effect on the life of farmers and they have to bear a loss. To avoid these negative impacts we have developed a project for detection of diseases in banana plant. Using the technologies and techniques of machine learning and deep learning such as image processing, Convolutional Neural Networks, etc. we have implemented a machine learning model which helps in early detection of various diseases in banana plant and thus minimizes the loss of yield. The farmers will be able to detect diseases in their crop and hence carry out necessary precautionary measures to prevent further spread of diseases .