摘要
为了准确高效地评估小麦拔节期的生长情况,设计了一套基于无人机的小麦生长信息获取系统。系统包括高光谱相机、高度测量传感器、GPS模块及主控制器等主要模块,通过高度传感器精确获取无人机的飞行高度信息,借助主控制器实时收集高度传感器测量到的高度数据,并定时触发高光谱相机采集图像信息。依据系统采集处于拔节期小麦的试验数据,分析结果表明:系统能够准确地获取小麦拔节期的多项植被指数信息,通过合理的建模得出,采用该系统测得的高光谱数据与地面实测值在多个植被指数指标上均高度拟合(R^(2)>0.8),可为研究小麦生长信息提供辅助支持。
In order to accurately and efficiently evaluate the growth of wheat at the jointing stage,the paper designs a wheat growth information acquisition system based on UAV.The system comprises several main modules such as hyperspectral camera,altitude sensor,GPS module and the main controller.The altitude sensor can accurately obtain the flight altitude information of the UVA,while the main controller is used to collect the altitude information above in real time and regularly trigger the hyperspectral camera to collect image information.The paper provides the testing data of the wheat in the jointing stage acquisited by the system which shows that the hyperspectral data is highly consistent(R2>0.8)with the actual measurement on the ground in multiple vegetation index by reasonable modelling,which providing auxiliary support for studying wheat growth information.
作者
杨立国
杨雅静
常晓莲
赵谦
李志强
李雪婷
麻志宏
滕飞
张杰
Yang Liguo;Yang Yajing;Chang Xiaolian;Zhao Qian;Li Zhiqiang;Li Xueting;Ma Zhihong;Teng Fei;Zhang Jie(Beijing Agricultural Machinery Test and Appraisal Extending Station,Beijing 100079,China;Agricultural Information Institute,Chinese Academy of Agricultural Sciences,Beijing 100081,China)
出处
《农机化研究》
北大核心
2022年第7期82-87,共6页
Journal of Agricultural Mechanization Research
基金
北京市农机化新技术试验研究与成果展示项目(PXM2020_036231_000024)
中央级公益性科研院所基本科研业务费专项(JBYW-AII-2020-10)。
关键词
无人机
遥感
植被指数
小麦
unmanned aerial vehicle(UAV)
remote sensing
vegetation index
wheat