Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario

The recent advances in precision agriculture are due to the emergence of modern robotics systems. For instance, unmanned aerial systems (UASs) give new possibilities that advance solution existing problems this area many different aspects. reason is these platforms’ ability perform activities at varying levels complexity. Therefore, research presents a multiple-cooperative robot for UAS and ground vehicle (UGV) their joint inspection olive grove inspect traps. This work evaluated UGV vision-based navigation based on yellow fly trap fixed trees provide visual position data using You Only Look Once (YOLO) algorithms. experimental setup fuzzy control algorithm applied make it reach efficiently. Experimental tests were conducted realistic simulation environment operating system (ROS) CoppeliaSim platforms verify methodology’s performance, all considered specific real-world environmental conditions. A search landing augmented reality tag (AR-Tag) processing was allow return base. outcomes obtained demonstrate robustness feasibility architecture UGVs UASs scenario.