SMART AGRICULTURAL ROBOT FOR AUTOMATIC CROP DISEASE DETECTION USING ARTIFICIAL INTELLIGENCE

Abstract

Agriculture plays a critical role in ensuring food security and economic development. One of the major challenges faced by farmers is the early detection of crop diseases, which can significantly reduce crop yield and quality. Traditional disease detection methods rely heavily on manual inspection, which is time-consuming, labor-intensive, and often inaccurate. This paper proposes a Smart Agricultural Robot for Automatic Crop Disease Detection using Artificial Intelligence (AI). The system integrates a mobile robotic platform, camera module, and AI-based image processing algorithms to automatically identify crop diseases in real time. The robot navigates through agricultural fields and captures images of plant leaves using an onboard camera. These images are analyzed using deep learning techniques to detect and classify diseases. When a disease is detected, the system alerts farmers and provides relevant information for timely treatment. The proposed system improves crop monitoring efficiency, reduces labor dependency, and supports precision agriculture.