Carrot Disease

Carrot and other vegetable diseases pose significant economic threats to agricultural production, motivating research into automated disease detection systems. Current efforts leverage deep learning, specifically convolutional neural networks (CNNs) and variations like YOLO, to analyze images of affected plants and identify specific diseases with high accuracy. These AI-powered tools, often implemented as mobile or web applications, aim to provide farmers with rapid diagnoses and treatment recommendations, potentially mitigating crop losses and improving yields. The ultimate goal is to enhance disease management and improve the efficiency and sustainability of vegetable farming.