GREENLENS: AN INTELLIGENT CNN- BASED LEAF DISEASE DETECTION AND AGRICULTURAL RECOMMENDATION SYSTEM

Abstract: Early detection of crop diseases is essential for improving agricultural productivity and reducing crop loss. The proposed system presents an automated crop disease recognition framework using Convolutional Neural Networks (CNN) and image processing techniques. Leaf images from the PlantVillage dataset are preprocessed and classified to identify healthy and diseased crops based on visual symptoms such as discoloration, spots, and texture variations. The model was achieved high training and testing accuracy, demonstrating reliable classification performance. The proposed approach provides an efficient, accurate, and user-friendly solution for smart agriculture applications and supports farmers in taking timely preventive measures for crop protection.

Keywords: CNN, Crop Disease Detection, Deep Learning, Image Processing, PlantVillage Dataset.