基于机器视觉的农业机械自动导航与作业优化  

Automatic Navigation and Operation Optimization of Agricultural Machinery Based on Machine Vision

作　　者：邓玲黎[1] 沈侃[1] Deng Lingli;Shen Kan(Suzhou Industrial Park Institute of Vocational Technology,Suzhou 215012,Jiangsu,China)

机构地区：[1]苏州工业园区职业技术学院,江苏苏州215012

出　　处：《农业技术与装备》2023年第12期43-45,48,共4页Agricultural Technology & Equipment

摘　　要：基于机器视觉导航系统逐渐在工业、农业和服务业行业快速发展和应用。该文以机器视觉导航为技术支撑,基于DSP的嵌入式硬件处理系统实现农业机械田间自动导航与作业,系统采用垂直向下的田间图像获取方法,以作物不同颜色特征作为参考依据。田间试验结果表明,在保证图像采集具有良好实时性的基础上导航精度较高。研究结果可以为农业生产提供更高效、精确和可持续的解决方案。Machine vision-based navigation systems are gradually developing and applying rapidly in industrial,agricultural and service industries.In this paper,machine vision navigation is used as the technical support,based on the embedded hardware processing system of DSP to achieve automatic navigation and operation of agricultural machinery in the field.The system adopts a vertical downward field image acquisition method with different colour characteristics of the crop as the reference basis,and the results of a field trial show that the navigation accuracy is high on the basis of ensuring that the image acquisition has good real-time performance.The results of the study can provide a more efficient,accurate and sustainable solution for agricultural production.

关 键 词：图像处理 路径规划 自动导航 DSP 

分 类 号：S220[农业科学—农业机械化工程]