Mobile APP for Banana Leaf Spot Disease Detection and Classification using Convolution Neural Network Model

Abstract

Agriculture is the backbone of our economy in India. Crop disease affected in leaves and stems are not identified and cured leads to the reduction in the crop production. If the diseases are identified at the earlier stage, we can safeguard the crops from major crop damage which in turn yields better crop production. Right in global economy, not only farmers do agriculture, many youngsters from corporate companies and many entrepreneurs enter into agriculture. Major problem faced by youngsters and entrepreneurs are identification of crop disease. But the youngsters did not have a well knowledge about the plants, crops or even the plant disease. Each and every time getting the input from the farmers or domain experts involves time, effort and money. The most common fruit liked by all categories of people is banana which is grown all over India. The banana leaves are affected by both bacterial and fungal disease which affects the growth of the plants. Farmers are able to find the remedial measures based on the experience but youngsters and entrepreneurs are unable to predict the disease. So to help the layman we are developing a mobile app which can detect the agriculturalist, banana leaf spot disease are identified in an early stage and recommend the remedies to cure the disease through voice assistance. The supervised machine learning algorithm -convolution neural network is very successful in identifying the image and classification of leaf spot disease. So in our proposed system Convolution Neural Network are used to detect and classify disease based on banana leaf spot.