农情监测多旋翼无人机系统开发及性能评估

doi:10.12133/j.smartag.2019.1.1.201812-SA011

Smart Agriculture ›› 2019, Vol. 1 ›› Issue (1): 43-52.doi: 10.12133/j.smartag.2019.1.1.201812-SA011

农情监测多旋翼无人机系统开发及性能评估

朱姜蓬^1,², 岑海燕^1,², 何立文^1,², 何勇^1,^2,^*()

^1. 浙江大学生物系统工程与食品科学学院,浙江杭州 310058
^2. 农业农村部光谱检测重点实验室,浙江杭州 310058

收稿日期:2018-11-10 修回日期:2018-12-20 出版日期:2019-02-22
基金资助:
浙江省重点研发计划项目(2015C02007);国家重点研发计划课题(2016YDF0200600);国家重点研发计划课题(2016YDF0200603)
作者简介:朱姜蓬（1994-）,男,博士研究生,研究方向：农用无人机系统的开发与测试,Email: zhujianpn@zju.edu.cn。
通信作者:

Development and performance evaluation of a multi-rotor unmanned aircraft system for agricultural monitoring

Zhu Jiangpeng^1,², Cen Haiyan^1,², He Liwen^1,², He Yong^1,^2,^*()

^1. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
^2. Key Laboratory of Spectraoscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China

Received:2018-11-10 Revised:2018-12-20 Online:2019-02-22

摘要/Abstract

摘要：

现代农业要求农业生产者实时、准确、全面地了解农作物的生长环境和生长状态。与传统的人工田间调查方式相比,无人机是一种高效的农田信息获取平台。本研究将自主研发的八旋翼无人机与农田信息采集设备进行整合,形成了一套用于农情监测的无人机系统,实现了无人机按照预设航线自动巡航并采集农田遥感图像、地理位置信息以及环境照度信息。经测试,在飞行中,图像采集设备能够稳定维持垂直对地的姿态并进行拍摄,采集的数据能够拼接成完整的农田正射影遥感图像。测试结果表明研发的无人机系统能够满足低空农情监测作业要求。与商业化产品相比,该系统避免了因任务设备与飞机独立工作而导致重拍、漏拍的情况,实现了无人机与任务设备高效协同作业。

关键词: 无人机系统, 农情监测, 遥感图像, 自主飞行, 路径规划, 农田信息获取

Abstract:

In modern agriculture production, to obtain real-time, accurate and comprehensive information of the farmlands is necessary for farmers. Unmanned Aircraft System (UAS) is one of the most popular platforms for agricultural information monitoring, especially the multi-rotor aircraft due to its simplicity of operation. It is easy to control the speed and altitude of multi-rotor aircraft, even at low altitude. The above features enable multi-rotor UAS to acquire high-resolution images at low altitudes by integrating different imaging sensors. The aim of this work was to develop an octocopter UAS for agricultural information monitoring. In order to obtain the high-resolution aerial images of the entire experimental field, the Sony Nex-7 camera was attached to the aircraft. According to the real-time position of the aircraft got from global position system (GPS) and inertial measurement unit (IMU), the flight control system of the aircraft will send signals to control the camera to capture images at desired locations. Besides, position and orientation system (POS) and an illuminance sensor were loaded on the aircraft to get the location, shooting angle and ambient illumination information of each image. The system can be used to collect the remote sensing data of a field, and the performance was comprehensively evaluated in the field of oilseed rape experimental station in Zhuji, Zhejiang Province, China. The result shows that the system can keep the camera optical axis perpendicular to the ground during the operation. Because the effective communication was established between the mission equipment and the flight control system, the UAS can accurately acquire the images at the pre-defined locations, which improved the operation efficiency of the system. The images collected by the system can be mosaicked into an image of the whole field. In summary, the system can satisfy the demand for the agricultural information collection.

Key words: unmanned aircraft system, agricultural monitoring, remote sensing images, automatic flight, path planning, agricultural information acquisition

中图分类号:

S251

朱姜蓬, 岑海燕, 何立文, 何勇. 农情监测多旋翼无人机系统开发及性能评估[J]. 智慧农业, 2019, 1(1): 43-52.

Zhu Jiangpeng, Cen Haiyan, He Liwen, He Yong. Development and performance evaluation of a multi-rotor unmanned aircraft system for agricultural monitoring[J]. Smart Agriculture, 2019, 1(1): 43-52.

参考文献

[1]	汪懋华 . “精细农业”发展与工程技术创新[J]. 农业工程学报, 1999(01):7-14.
[1]	Wang M . Development of precision agriculture and innovation of engineering technologies[J]. Transactions of the Chinese Society of Agricultural Engineering, 1999(01):7-14.
[2]	罗锡文, 张泰岭, 洪添胜 . “精细农业”技术体系及其应用[J]. 农业机械学报, 2001(02):103-106.
[2]	Luo X, Zhang T, Hong T . Technical system and application of precision agriculture[J]. Transactions of the Chinese Society of Agricultural Engineering, 2001(02):103-106.
[3]	江晶 . 国家现代农业示范区运行机制与发展模式研究[D]. 北京: 中国农业科学院, 2013.
[3]	Jiang J . Research on the operational mechanism and developmental modes of the national modern agriculture demonstration zone[D]. Beijing: Chinese Academy of Agricultural Sciences, 2013.
[4]	周志艳, 臧英, 罗锡文 , 等. 中国农业航空植保产业技术创新发展战略[J]. 农业工程学报, 2013,29(24):1-10.
[4]	Zhou Z, Zang Y, Luo X , et al. Technology innovation development strategy on agricultural aviation industry for plant protection in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013,29(24):1-10.
[5]	周志艳, 明锐, 臧禹 , 等. 中国农业航空发展现状及对策建议[J]. 农业工程学报, 2017,33(20):1-13.
[5]	Zhou Z, Ming R, Zang Y , et al. Development status and countermeasures of agricultural aviation in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017,33(20):1-13.
[6]	Khan Z, Chopin J, Cai J , et al. Quantitative estimation of wheat phenotyping traits using ground and aerial imagery[J]. Remote Sensing, 2018,10(6):1081.
[7]	Flynn K F, Chapra S C . Remote sensing of submerged aquatic vegetation in a shallow non-turbid river using an unmanned aerial vehicle[J]. Remote Sensing, 2014,6(12):12815-12836.
[8]	Holman F H, Riche A B, Michalski A , et al. High throughput field phenotyping of wheat plant height and growth rate in field plot trials using UAV based remote sensing[J]. Remote Sensing, 2016,8(12):1031.
[9]	孙毅, 王英勋 . 无人机驾驶员航空知识手册[M]. 北京: 中国民航出版社, 2014: 6-49.
[9]	Sun Y, Wang Y. UAV pilot’s handbook of aviation knowledge[M]. Beijing: China Civil Aviation Publishing House, 2014: 6-49.
[10]	李伟荣 . 带悬挂吊舱的八旋翼特种无人机动力学建模与控制[D]. 杭州: 浙江大学, 2015.
[10]	Li W . Modeling and control of a special unmanned octocopter with a slung load[D]. Hangzhou: Zhejiang University, 2015.
[11]	范继伟 . 基于混杂控制系统的八旋翼飞行器设计[D]. 吉林:东北电力大学, 2018.
[11]	Fan J . Design of eight rotor aircraft based on hybrid control system[D]. Jiling: Northeast Electric Power University, 2018.
[12]	张金亮 . 捷联惯性/星光组合导航关键技术研究[D]. 西安: 西北工业大学, 2016.
[12]	Zhang J . Key techniques for inertial stellar integrated navigation system[D]. Xi’an: Northwestern Polytechnical University, 2016.
[13]	王守宽 . 基于MEMS低成本微型捷联惯性导航系统研究[D]. 北京:北京理工大学, 2016.
[13]	Wang S . Research on low cost and micro strapdown inertial navigation system based on MEMS[D]. Beijing: Beijing Institute of Technology, 2016.
[14]	李希胜, 王家鑫, 汤程 , 等. 高精度磁电子罗盘的研制[J]. 传感技术学报, 2006(06):2441-2444.
[14]	Li X, Wang J, Tang C , et al. Development of high accuracy magnetic electronic compass[J]. Chinese Journal of Sensors and Sctuators, 2006(06):2441-2444.
[15]	王伟, 周勇, 王峰 , 等. 基于气压高度计的多旋翼飞行器高度控制[J]. 控制工程, 2011,18(04):614-617.
[15]	Wang W, Zhou Y, Wang F , et al. Altitude control of multi-rotor type aircraft based on pressure sensor[J]. Control Engineering of China, 2011,18(04):614-617.
[16]	Rajesh R J, Kavitha P . Camera gimbal stabilization using conventional PID controller and evolutionary algorithms[C]// Computer, Communication and Control (IC4), 2015 International Conference on. IEEE, 2015: 1-6.
[17]	王贤 . 基于POS系统的数字正射影像制作研究[D]. 绵阳: 西南科技大学, 2018.
[17]	Wang X . Research on making digital orthophoto map based on position and orientation system[D]. Mianyang: Southwest University of Science and Technology, 2018.
[18]	Fuller B, Kok J, Kelson N A , et al. Hardware design and implementation of a MAVLink interface for an FPGA-based autonomous UAV flight control system[C]// Proceedings of the 2014 Australasian Conference on Robotics and Automation. Australian Robotics & Automation Association ARAA, 2014: 1-6.
[19]	盛浩然 . 航空摄影测量基础知识[M]. 北京: 测绘出版社, 1979.
[19]	Sheng H. Aerial photogrammetry basics[M]. Beijing: Sinomaps Press, 1979.
[20]	潘冉冉 . 基于RTK的农机精准定位系统的研究[D]. 杭州:浙江大学, 2017.
[20]	Pan R . Research on agricultural machinery precision positioning system based on RTK[D]. Hangzhou: Zhe jiang University, 2017.
[21]	Srivastava A K, Goering C E, Rohrbach R P . Engineering principles of agricultural machines[M]. St. Joseph: American Society of Agricultural Engineers, 2006: 128-138.

农情监测多旋翼无人机系统开发及性能评估

Development and performance evaluation of a multi-rotor unmanned aircraft system for agricultural monitoring

在线阅读

知网下载

本地下载

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

[1]	李阳, 彭彦昆, 吕德才, 李永玉, 刘乐, 朱宇杰. 可移动式苹果内部品质果园产地分级系统[J]. 智慧农业(中英文), 2022, 4(3): 132-142.
[2]	徐旻, 张瑞瑞, 陈立平, 唐青, 徐刚. 智能化无人机植保作业关键技术及研究进展[J]. 智慧农业, 2019, 1(2): 20-33.