Design and implementation of wild plant grabbing system and car in Tibet based on Raspberry Pi 4B

Abstract

This article introduces a plant collection system applied in Tibet to solve the challenges of traditional manual collection in the plateau environment. The system uses a remotely controlled Raspberry Pi trolley^[1] to collect plants, which improves the collection efficiency and the safety of collectors. Hardware modules include basic functional systems and artificial intelligence subsystems for control, navigation and plant recognition. The AI^[2] subsystem uses the YOLOv5s^[3] model for plant recognition and cooperates with sensors to implement environmental monitoring. The software interface provides slider and button controls, allowing the operator to precisely control the robot's movement and camera angles. Experimental results show that the system performs well in heavy object grabbing, muddy driving, sloping driving, and plant grabbing, etc., and provides an effective tool for field plant research and protection work.