Machine Learning Based plant disease Identification Through Image Processing And Overcoming Through Embedded System

The Plant Disease Identifier using Convolutional Neural Networks (CNN) is a computer vision project that aims to accurately identify and classify plant diseases from images of leaves. The project utilizes a deep learning approach with a CNN architecture to learn and extract meaningful features from the input images, which are then used to classify them into various disease categories. The model is trained on a large dataset of images of healthy and diseased plants and is capable of identifying multiple diseases present in the same leaf. The accuracy of the model is evaluated using various performance metrics, such as precision, recall, and F1 score. The project has the potential to aid in early detection and treatment of plant diseases, thereby minimizing crop damage and increasing agricultural productivity.