Plant Disease Identification and Crop Recommendation System Using GAN

The agricultural sector has long battled the twin challenges of identifying plant diseases early andchoosing the most suitable crops for cultivation. These issues not only affect food production but alsodirectly impact farmers' livelihoods and national economies. Thanks to the rapid progress in ArtificialIntelligence (AI) and Machine Learning (ML), we now have the tools to revolutionize how farmers makecritical decisions. This project presents a smart, AI-driven system that detects plant diseases usingGenerative Adversarial Networks (GANs) and simultaneously recommends crops based on soil andenvironmental conditions. By merging deep learning with an intuitive web-based interface, the system offersfarmers real-time insights and practical advice. This work aims to promote smarter farming practices,enhance sustainability, and ensure better agricultural productivity.