植保无人机精准喷施方法研究综述  

Review of Precision Spraying Methods Using Unmanned Aerial Vehicles in Plant Protection

作　　者：孙鹏 冯俊青[1] 邱林江 SUN Peng;FENG Jun-qing;QIU Lin-jiang(School of Electrical Engineering,Yancheng Institute of Technology,Yancheng,Jiangsu 224002)

机构地区：[1]盐城工学院电气工程学院,江苏盐城224002

出　　处：《安徽农业科学》2024年第10期1-5,10,共6页Journal of Anhui Agricultural Sciences

基　　金：江苏省研究生创新实践计划校级重点项目(SJCX22_XZ011)。

摘　　要：作为一种新兴农业技术,植保无人机以其高效、精准、灵活等特点在农作物疾病和虫害防治中具有重要意义。综述了植保无人机精准喷施方法的关键技术,包括植保无人机发展现状、路径规划算法、喷施器研究和漂移控制。通过对相关文献的分析和整理,总结了植保无人机路径规划算法的特点和应用情况,重点介绍了经典路归算法、遗传算法以及蚁群优化等元启发算法的优点和不足,以及喷施器研究和漂移控制研究的进展和挑战。最后,提出了未来研究的方向和建议,包括改进算法性能、优化路径规划策略、提高喷施器的精度和稳定性、优化漂移控制算法等。旨在为相关研究者提供全面的研究概览,推动植保无人机精准喷施技术的进一步发展和应用。As an emerging agricultural technology,agricultural drones play a crucial role in disease and pest control due to their efficiency,precision,and flexibility.The review provides a detailed overview of key technologies in precision spraying,including the development status of agricultural drones,path planning algorithms,sprayer design,and drift control.Through analysis and synthesis of relevant literature,the review summarizes the characteristics and applications of path planning algorithms for agricultural drones,with a focus on classical algorithms,genetic algorithms,ant colony optimization,and other metaheuristic algorithms,highlighting their strengths and limitations.It also explores the progress and challenges in sprayer design and drift control research.Finally,the review proposes future research directions and suggestions,such as improving algorithm performance,optimizing path planning strategies,enhancing sprayer accuracy and stability,and refining drift control algorithms.The aim of this review is to provide a comprehensive research overview for scholars in the field,facilitating the further development and application of precision spraying technology in agricultural drones.

关 键 词：无人机 植保 路径规划 混药装置 漂移控制 

分 类 号：S252[农业科学—农业机械化工程]