Design of an Intelligent Target Spraying Robot for Processing Hyphantria Cunea Larva Nets

Title:Design of an Intelligent Target Spraying Robot for Processing Hyphantria Cunea Larva Nets

Volume: 14 Issue: 4

Author(s): Ying Zhao*, Rongzhi Gao, Changqing Ma, Zhonglai Tian, Dongjie Zhao, Laigang Zhang and Qun Sun

Affiliation:

• School of Mechanical and Automotive Engineering, Liaocheng University,China

Keywords: Hyphantria cunea, larva nets, machine vision, spray robot, three-dimensional motion, spraying robot.

Abstract:

Background: The Hyphantria cunea is a worldwide quarantine pest. It has the characteristics of a wide variety of recipes, strong adaptability, wide transmission channels and serious harm, which seriously endanger the sustainable development of the ecological environment. At present, the control methods of the Hyphantria cunea are costly and inefficient.

Objective: An intelligent target spraying robot based on machine vision is designed for cleansing Hyphantria cunea larva nets according to the characteristics of the net curtain and the background color.

Methodology: The mobile mechanism of the spraying robot is based on a crawler type trolley and the three-dimensional movements are achieved by stepping motor and synchronous belt driving linear guide slider in the horizontal plane, and by the lead screw in the vertical direction. The on-board software controls the hand-eye actuator to scan the target trees with a specific trajectory, and performs image processing to identify the target so as to intelligently spray on the target.

Results: The spraying robot can cope with the irregular distribution of Hyphantria cunea larva nets, and can realize the three-dimensional movement of the nozzle, and perform the progressive scanning to identify the larva nets, and the robot controls the nozzle to spray the medicine, thereby realizing the intelligent spraying of the target.

Conclusion: Experiments show that accurate target spraying of the robot can be achieved, and the target coverage rate can reach up to 85% of the total larva nets, which greatly improves the spraying efficiency.

Cite this article as:

Zhao Ying *, Gao Rongzhi , Ma Changqing , Tian Zhonglai , Zhao Dongjie , Zhang Laigang and Sun Qun , Design of an Intelligent Target Spraying Robot for Processing Hyphantria Cunea Larva Nets, Recent Patents on Engineering 2020; 14 (4) . https://dx.doi.org/10.2174/1872212113666190719142429