An AI-Based Crop Disease Detection and Classification System Using Deep Learning and Computer Vision

This paper presented an AI-based crop disease detection and classification system using deep learning and computer vision. The proposed pipeline combines image preprocessing with CNN-based feature learning to classify healthy and diseased crop leaves. The modular platform design provides a foundation for future smart agriculture applications. Future development can include transfer learning, real-world field datasets, explainable AI, multilingual interfaces, mobile deployment, and integration with agricultural monitoring systems.

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