Design and Implementation of ROS-Based Rapid Identification Robot System

Abstract

Weeds in the corn field are extremely harmful to the growth of corn seedlings and should be controlled in time. The main domestic weeding method is still based on large-scale spraying of chemical agents. This method not only causes waste of resources, but also pollutes the environment. In order to accurately identify corn seedlings and weeds in the corn field, we should do selective spraying of chemicals. This article aims to study a ROS-based rapid identification robot system. First, this article introduces the design of the robot system. Then this article introduces the model generation subsystem. The system can identify the collected images and classify and locate the corn and weeds in the images. Next, this article introduces the communication subsystem. The communication subsystem realizes the remote control of the Spark robot, and can transfer the collected images to the model for detection. Moreover, this article introduces the experimental process of the system. Finally, the shortcomings of the design of the ROS-based seedling rapid recognition robot system are summarized and the research prospect is prospected.