果园植保无人机精准变量作业控制方法研究
Study on precise variable operation control method of orchard plant protection unmanned aerial vehicles
吴建伟 1王秀琴 2张文平 2谢新锐 3李春朋 4饶晓燕4
作者信息
- 1. 北京市农林科学院信息技术研究中心,北京 100097;北京派得伟业科技发展有限公司,北京 100097;国家农业智能装备工程技术研究中心,北京 100097
- 2. 北京派得伟业科技发展有限公司,北京 100097
- 3. 北京市农林科学院信息技术研究中心,北京 100097
- 4. 农业农村部信息中心,北京 100125
- 折叠
摘要
植保无人机作业是目前施药防治病虫害最为高效的方式之一,针对当前果园使用植保无人机作业存在施药不精准、不均匀的问题,集成地理坐标获取、图像处理、深度学习、智能施药控制等关键技术,创新基于果树树龄和冠层密度两指标的精准变量控制无人机方法,在按照作业轨迹行驶的过程中,根据上述指标的信息控制无人机的喷药量,从而改善因树龄和冠层密度差异带来的施药不足或过多的问题,实现精准变量施药,减少过量施药造成的环境污染,提高农业资源利用率,从而提升无人机果园施药的经济效益和生态效益.
Abstract
Deploying unmanned aerial vehicles(UAVs)is one of the most effcient ways to prevent and control pests.To address the shortcomings of imprecision and uneven application in the current plant protection UAV operation in orchards,this study integrates key technologies,including geographic coordinate acquisition,image processing,deep learning,and intelligent application control.An accurate variable control method for plant protection UAVs based on tree age and canopy density was also developed.Along the designated route,the UAV will adjust the spray volume based on the information on the tree age and canopy density,thereby avoiding the problem of insufficient or excessive application resulting from discrepancies in tree age and canopy density.This approach enables accurate variable application control,reduces environmental contamination,and improves the utilization of agricultural resources,thus enhancing economic and ecological benefits.
关键词
果园植物保护/无人机/精准施药/树龄/树冠Key words
orchard plant protection,unmanned aerial vehicles,precise application,tree age/tree canopy引用本文复制引用
基金项目
云南省科技计划(202105AF150264)
北京市农林科学院课题(JJP2023-04)
北京市农林科学院课题(PT2024-30)
出版年
2024
NETL
NSTL
万方数据