基于人工智能技术的深松机械智能化控制研究

Research on Intelligent Control of Subsoiling Machinery Based on Artificial Intelligence Technology

该研究基于视觉定位技术及智能算法,结合GPS技术,构建深松机械智能定位系统,并利用田间试验考察其作业性能。结果表明,基于机器视觉定位技术下,深松机械田间运行轨迹误差较小,X、Y方向较传统GPS定位精度提高46.67%和45.45%。研究结果表明,基于人工智能技术的玉米深松机械智能控制在提高农业生产效率、保护环境和改善农民生活质量方面具有一定的推动作用。

This study builds an intelligent positioning system for subsoiling machinery based on visual positioning technology and intelligent algorithms,combined with GPS technology,and examines its operational performance using field trials.The results show that under the machine vision-based positioning technology,the subsoiling machinery field running trajectory error is small,and the X and Y directions are 46.67%and 45.45%higher than the traditional GPS positioning accuracy.The results show that the intelligent control of corn subsoiling machinery based on artificial intelligence technology has a certain role in promoting the efficiency of agricultural production,protecting the environment and improving the quality of life of farmers.