Disease Detection in Potato Crop Using Deep Learning

One of the main crops in India is the potato. In India, potato farming has gained enormous popularity in recent years. However, a number of diseases are making it more expensive for farmers to grow potatoes while also affecting their personal lives. Our primary objective is to use cutting-edge machine learning technology to identify potato disease from leaf images. This paper provides an image that is processed and deep learning-based automated algorithms will identify and categorize potato leaf diseases. The best method for identifying and studying these disorders is image processing. Around 2152 images of diseased and healthy potato leaves were divided into groups for this project. Our results demonstrate that machine learning outperforms all currently available tasks in potato disease identification.