Abstract
Abstract: This paper presents an AI-driven crop analysis system using deep learning, integrated into a user-friendly web app built with Flask. Convolutional neural networks (CNNs) are used by the model, which was trained on a variety of crop photos, to accurately classify the crop images into categories such as healthy crops and different stages of disease. Crop health may be easily monitored by farmers and agronomists thanks to the user-friendly website. The system's practical applications, such as precision agriculture and disease management, hold promise for enhancing global food security by automating crop disease detection and minimizing losses
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