农业大数据学报 ›› 2023, Vol. 5 ›› Issue (2): 54-61.doi: 10.19788/j.issn.2096-6369.230208

• “共享杯”农业科学专业赛优秀作品 • 上一篇    下一篇

对靶施药机器人及其关键技术的研究现状与分析

石航1,2,3(), 胡军1,2,3,*(), 李宇飞1,2,3, 刘昶希1,2,3, 张辉1,2,3, 张建业1,2,3   

  1. 1.黑龙江八一农垦大学工程学院,大庆 163319,黑龙江
    2.黑龙江省保护性耕作工程技术研究中心,黑龙江 大庆 163319
    3.农业农村部大豆机械化生产重点实验室,黑龙江 大庆 163319
  • 收稿日期:2023-04-26 出版日期:2023-06-26 发布日期:2023-08-15
  • 通讯作者: 胡军
  • 作者简介:石航,硕士研究生;研究方向:智能植保机械装备;E-mail:2443539523@qq.com
  • 基金资助:
    国家大豆产业技术体系岗位专家项目(CARS-04-PS30);黑龙江省应用技术研究与开发计划项目(GA21B003);九三大豆产业创新研究院项目(2022402);黑龙江八一农垦大学研究生创新科研项目(YJSCX2022-Y24)

Research Status and Analysis of Target Application Robot and Its Key Technologies

SHI Hang1,2,3(), HU Jun1,2,3,*(), LI YuFei1,2,3, LIU ChangXi1,2,3, ZHANG Hui1,2,3, ZHANG JianYe1,2,3   

  1. 1. College of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, Heilongjiang, China
    2. Heilongjiang Conservation Tillage Engineering Technology Research Center, Daqing 163319, Heilongjiang, China
    3. Key Laboratory of Mechanized Soybean Production, Ministry of Agriculture and Rural Affairs, Daqing 163319, Heilongjiang, China
  • Received:2023-04-26 Online:2023-06-26 Published:2023-08-15
  • Contact: HU Jun

摘要:

农业机器人的研发与应用是如今智慧农业发展的重要趋势,对靶施药机器人是农业机器人领域的重要分支。本研究总结了国内外对靶施药机器人的研究现状与进展,介绍了对靶施药机器人的工作原理与主要技术点。分析了对靶施药机器人关键技术的研究现状,包括病虫害检测技术、对靶施药技术以及自主行走和控制技术,并阐明了这些关键技术在国内外的研究进展和挑战。指出了目前国内外对靶施药机器人大多可以做到节省农药、提高农药利用率的效果,但其研发状态更多处于实验室阶段,尚不能完全胜任实际生产任务。本研究可为对靶施药机器人研发的推进和智能化农业的发展提供参考和思路。

关键词: 对靶施药, 植保机器人, 精准施药, 图像识别

Abstract:

The research and application of agricultural robots is an important trend in the development of smart agriculture, and the target application robot is an important branch in the field of agricultural robots. This study summarizes the current research status and progress of domestic and international targeted spraying robots, and introduces the working principle and main technical points of targeted spraying robots. The study analyzes the current research status of key technologies for targeted spraying robots, including plant diseases and insect pests detection technology, targeted spraying technology, autonomous walking and control technology, and elaborates on the research progress and challenges of these key technologies both at home and abroad. It is pointed out that currently, most targeted spraying robots domestically and internationally can achieve the effects of saving pesticides and improving pesticide utilization rate, but their development is mostly in the laboratory stage and cannot fully meet actual production tasks. This study can provide reference and ideas for the advancement of targeted spraying robot research and the development of intelligent agriculture.

Key words: apply to the target, plant protection robot, accurate application, image recognition