Abstract
In order to improve the stability of fruit recognition of orchard plant protection robot, the walking control system of orchard plant protection robot was established based on artificial intelligence algorithm. Orchard eppo robot control system design of hardware platform is a rate by machine controller, signal controller, chassis motor drives, cameras and proximity switch of these five parts, is mainly responsible for transferring information to the control system, do matting for software design, on this basis, the set can intelligent power saving communication program and the sensor data acquisition, the recognition data transmission to the robot control system, the implementation is based on artificial intelligence algorithm orchard plant protection design of the control system of walking robot. By combining software and hardware, the research on the walking control system of orchard plant protection robot based on artificial intelligence algorithm is completed. From the results of software and hardware experiments, it can be seen that compared with the traditional robot walking control system, the application of this system for fruit recognition has higher stability and can effectively reduce the workload.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yang, S., Yang, X., Mo, J.: The application of unmanned aircraft systems to plant protection in China. Precision Agric. 19(2), 278–292 (2018). https://doi.org/10.1007/s11119-017-9516-7
Dai, L.: Design of bionic robot action based on artificial intelligence algorithms. Electron. Technol. Softw. Eng. 131(09), 262 (2018)
Anonymous: Gait parameter optimization algorithm of humanoid robot based on screw model. Pattern Recogn. Artif. Intell. 31(11), 1018–1027 (2018)
Lu, Z., Lin, G., Lin, B., et al.: Sci. Educ. Educ. J. (Late Decade) 339(5), 79–80 (2018)
Zhou, Z., Li, Y., Yan, R.: Design of orchard picking robot based on OFDM channel and remote monitoring. Res. Agric. Mech. 39(3), 229–233 (2017)
Mao, F., Xu, H., Wang, Y., et al.: Orchard mobile robot path recognition system based on VB/Matlab. Comput. Eng. 43(12), 315–320 (2017)
Leng, W.: Digital video optical fiber transmission system for orchard remote robot based on DWDM. Res. Agric. Mech. 41(4), 215–218 (2019)
Tu, L., Li, L., Lin, G.: Study on global optimal path planning for orchard mobile robots. J. Nanhua Univ. (Nat. Sci. Edn.) 31(4), 71–74 (2017)
Li, B., Li, H., Ge, Z.: Design of autonomous navigation orchard robot based on adaptive genetic algorithm and spline curve. Agric. Mech. Res. 39(2), 47–51 (2017)
Liu, S., Lu, M., Li, H., et al.: Prediction of gene expression patterns with generalized linear regression model. Front. Genet. 10, 120 (2019)
Luo, L., Zou, X., Lu, T., et al.: Virtual simulation and prototype test of picking robot operation behavior. J. Agric. Mach. 49(5), 34–42 (2018)
Liu, S., Bai, W., Srivastava, G., Machado, J.A.T.: Property of self-similarity between baseband and modulated signals. Mobile Netw. Appl. 25(4), 1537–1547 (2019). https://doi.org/10.1007/s11036-019-01358-9
Shuai, L., Gelan, Y.: Advanced Hybrid Information Processing, pp. 1–594. Springer, New York
Huang, L., Zhang, K., Hu, W., et al.: Trajectory optimisation design of robot based on artificial intelligence algorithm. Int. J. Wireless Mobile Comput. 16(1), 35 (2019)
Acknowledgements
Scientific and Technological Planning Projects of Colleges and Universities in Shandong Province (J16LB57).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Ji, Gy., Wang, Z., Zhang, R. (2021). Design and Implementation of Walking Control System for Orchard Plant Protection Robot Based on Artificial Intelligence Algorithm. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 347. Springer, Cham. https://doi.org/10.1007/978-3-030-67871-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-67871-5_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-67870-8
Online ISBN: 978-3-030-67871-5
eBook Packages: Computer ScienceComputer Science (R0)