农业数据采集与处理的无人机-无线传感器网络协同系统

D. Popescu, F. Stoican, L. Ichim, G. Stamatescu, Cristian Dragana
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引用次数: 11

摘要

最近,机载机器人平台与地面智能传感器系统网络的集成已成为各种专业应用中数据收集、分析和控制的强大解决方案。提出了一种基于无人机团队协作的分层结构和联合无线传感器网络结构,用于精准农业作物监测。关键优势在于在线数据收集和中继到中央监测点,同时通过优化的无人机轨迹和原位数据处理有效地管理网络负载和延迟。这些实验是在Fundulea国家研究所进行的,那里开发了不同的作物和方法。结果表明,在罗马尼亚MUWI项目中实施的协同无人机- wsn方法提高了精准农业和生态农业的性能。
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Collaborative UAV-WSN System for Data Acquisition and Processing in Agriculture
Integration of airborne robotic platforms with networks of intelligent sensor systems on the ground has recently emerged as a robust solution for data collection, analysis and control in various specialised applications. The paper presents a hierarchical structure based on the collaboration between a team of unmanned aerial vehicles and a structure of federated wireless sensor networks for crop monitoring in precision agriculture. Key advantages lay in online data collection and relaying to a central monitoring point while effectively managing network load and latency through optimised UAV trajectories and in situ data processing. The experiments were carried out at the Fundulea National Research Institute where different crops and methods are developed. The results demonstrate the fact that the collaborative UAV-WSN approach implemented in the Romanian project MUWI increases the performances both in precision agriculture and ecological agriculture.
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