Automated Plant Disease Recognition System

Authors: Shivam Admane, Siddharth Guldagad, Payal Chakane, Prof. Nikam PP

Abstract: Plants are very essential in our life as they provide source of energy and overcome the issue of global warming. Plants now a days are affected by diseases like bacterial spot, late blight, Septoria leaf spot. These diseases effect the efficiency of crop yield. So ,the early detection of diseases is important in agriculture. Detection of diseases as soon as they appear is vital step for effective disease management. Aim of the project is to detect plant leaf disease by Machine Learning using image and videos. For Image, the proposed algorithm is Random forest classifier-Machine learning Algorithm used for classification andfor video the proposed technique is Resnet50- Deep Learning Algorithm. These techniques will obtain prediction results using various metrics like accuracy, precision and efficiency. This project can be implemented in agriculture.