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Issue title: Information Sciences and Data Transmission of Data
Guest editors: Juan Luis García Guirao
Article type: Research Article
Authors: Yue, Guanga; * | Pan, Yutianb
Affiliations: [a] Department of Public Security, Shanxi Police College, Taiyuan, China | [b] College of Mechanical and Electrical Engineering, North University of China, Taiyuan, China
Correspondence: [*] Corresponding author. Guang Yue, Department of Public Security, Shanxi Police College, Taiyuan 030401, China. E-mail: [email protected].
Abstract: As the large error and low efficiency of manual tillage, tractor tillage has become the focus of the current research. However, tractor driving requires a lot of manpower and time. Therefore, the overall efficiency of agricultural tillage is reduced. To address this problem, an intelligent control system of agricultural unmanned tractor tillage trajectory based on machine vision is proposed in this paper. First, the hardware of the automatic control system of agricultural unmanned tractor is designed. Then the intelligent control algorithm is proposed to realize the software design, and the image of tractor tillage environment is processed. Finally, the adaptive path tracking algorithm is applied to realize the adaptive tracking of the agricultural unmanned tractor tillage trajectory, so as to realize the trajectory control. Experimental results show that the designed system can accurately track and control the agricultural unmanned tractor tillage trajectory and improve tractor operation efficiency.
Keywords: Machine vision, unmanned, agricultural tractor, intelligent control algorithm
DOI: 10.3233/JIFS-179818
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7449-7459, 2020
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