AI-Powered Plant Disease Detection

With the core mission of producing smart agriculture software and equipment domestically, the project aims to develop algorithms that classify diseases using crop-specific AI models for the early diagnosis, detection, and mapping of plant diseases through remote multispectral imaging from unmanned aerial vehicles (UAVs), and to deliver them to the agriculture sector through a user-friendly interface. So that UAVs can be used in precision agriculture not only for data collection but also for applying variable rates of pesticide and fertilizer to specific areas of a field, the disease density map will be integrated as a new factor affecting chemical dosage into the inputs of the AI model of our spraying drone, whose ground control station, developed through our company's own R&D, adjusts spraying and altitude based on external conditions and propeller speed. The goal is to increase crop yields while reducing pesticide and fertilizer use.