Leaf Disease Detection Using Raspberry Pi

Abstract

Agriculture is the backbone of the Indian government. Every human being requires a lot of production of crops to fulfill the needs of the Indian government. There are various types of diseases on plant leaves that cause problems in the development of crops. Because of these diseases, a large amount of crop production is being decreased. Human eyes can’t identify so strongly with our naked eye. The automatic identification system is used to recognize automatically and relate the diseased part of the leaf images and it classifies leaves with the help of image processing techniques by gathering some of the leaves and training them. At the starting stage, the disease can be easily identified.The main intention of this paper is to bloom a CNN model for detecting the disease in apples which are apple black rot, apple cedar rust, and apple scab by applying suitable machine learning-based image processing techniques to the images. Further deploying the model on the hardware that makes it easily accessible to all the farmers.