UAV

This project aims to develop an autonomous aerial system for precision agriculture, focusing on energy-efficient surveying and monitoring of crop fields and grasslands. The system will feature real-time detection and localization of wildlife, specifically young roe deer, using onboard sensors and computers. The project will develop algorithms for energy-efficient trajectory planning, obstacle detection, and collision avoidance to enable reliable, safe, and efficient deployment, independent of environmental characteristics. The proposed system will include a specialized multi-rotor robotic UAV platform equipped with AI-based navigation software, vision-based detection, and a low-level collision avoidance system, with a focus on hardware and software modularity. The system will also support multiple operation modes for crop health and wildlife monitoring and will allow in-flight informed decision-making based on detected objects and the environment. The project will result in a modular UAV, specialized software for trajectory planning and object detection, and a mobile application to display detected wildlife locations.