Southern Illinois University Researchers Develop AI Robot for Early Soybean Disease Detection
Researchers at Southern Illinois University Carbondale (SIU), led by Assistant Professor Billy Ram and doctoral student Samuel Singh, are developing an innovative AI-powered robot designed for the early detection of soybean diseases. This technology aims to identify plant diseases, such as frogeye leaf spot, before visible symptoms appear on the crop, which often leads to significant yield losses. The robot is battery-powered, equipped with GPS, multiple cameras, and autonomous navigation capabilities, allowing it to move through soybean rows, collect close-range images from various angles, and monitor individual plants. The team's goal is to develop advanced AI models that can accurately identify diseases and create disease maps, enabling farmers to apply fungicides precisely where needed, thereby reducing costs and improving efficiency.