This paper addresses the labor shortages and high costs in traditional agriculture by designing an intelligent orchard picking robot. The robot leverages the ROS operating system, NVIDIA Jetson Nano, and a tracked chassis to navigate complex terrains. Key technologies include SLAM for real-time mapping, A* for path planning, and YOLOv5 for fruit detection. Experiments conducted in a simulated orchard environment demonstrate the robot's effectiveness in autonomous navigation and accurate fruit recognition, achieving 95% recognition accuracy in clear conditions and 75% under occlusion. The results showcase the robot's potential to significantly enhance productivity and reduce labor demands in orchard harvesting.
Design and Implementation of Intelligent Orchard Robot
2024-12-13
3579075 byte
Conference paper
Electronic Resource
English
Hillside orchard intelligent picking robot based on visual recognition
European Patent Office | 2020
|Crawler-type hybrid power intelligent orchard operation robot and method thereof
European Patent Office | 2025
|Autonomous Navigation Strategy for an Orchard Robot Using Simulation Design
British Library Conference Proceedings | 2020
|