基于计算机视觉的智能农机自动驾驶与作业路径规划

Intelligent Agricultural Machinery Automatic Driving and Operation Path Planning Based on Computer Vision

计算机视觉是一种能够使机器“看到”和“理解”图像的技术,其在农业领域中的应用日益广泛。笔者通过对计算机视觉技术在智能农机中的应用进行研究,探讨其在农业生产中的潜在优势和发展趋势。笔者重点分析了计算机视觉技术在智能农机自动驾驶和作业路径规划方面的应用,包括图像识别与目标检测、环境感知与障碍物识别、自动驾驶控制与导航、地块边界检测与规划、增量式作业与智能调度等,探讨了计算机视觉技术在提高农机作业效率、减少人工操作、保障精准农业等方面的作用,旨在为智能农机的研发和推广提供有益的借鉴和指导。

Computer vision is a technology that enables machines to“see”and“understand”images,and its application in the agricultural field is becoming increasingly widespread.The author conducts research on the application of computer vision technology in intelligent agricultural machinery,exploring its potential advantages and development trends in agricultural production.The author focuses on analyzing the application of computer vision technology in intelligent agricultural machinery autonomous driving and operation path planning,including image recognition and object detection,environmental perception and obstacle recognition,autonomous driving control and navigation,land boundary detection and planning,incremental operation and intelligent scheduling,etc.The author explores the role of computer vision technology in improving agricultural machinery operation efficiency,reducing manual operations,and ensuring precision agriculture.The aim is to provide useful reference and guidance for the research and promotion of intelligent agricultural machinery.