Computer Vision based Plant Disease Detection using Machine Learning Technique

Abstract

Our lives would be incomplete without agriculture. As a result, disease identification is crucial in agriculture since untreated diseases cause many plants to go extinct. Since it is always visible and available, the leaf picture was chosen for detecting purposes. In addition to helping plants develop quickly, leaves also help plants produce more food. The suggested system may identify plant leaf disease by using an image of the leaf as the source data. In order to train computers and produce accurate predictions, AI systems also require a large amount of data. The diagnosis and detection of plant leaf disease is a crucial component of an AI-based system model for the agricultural sector. In this paper, performance-improving machine learning algorithms are presented for image-based plant leaf disease diagnosis. Python version 3.7 is used to run the simulation. The total accuracy for identifying various plant leaf diseases is 98%