Plant Disease with particle swarm optimization

This project implements a plant disease detection system using deep learning techniques. It can identify 38 different classes of plant diseases across various crops including apple, cherry, corn, grape, peach, potato, and tomato. The system uses a custom CNN architecture and employs Particle Swarm Optimization (PSO) to optimize the model's hyperparameters for improved accuracy.