大数据在农业无人机上的应用研究

Application of Big Data in Agricultural UAVs

大数据是无法在一定时间内用普通软件分析管理的数据集合,具有规模性、多样性和高速性的特点,其在相应的需求下产生,已经应用到社会生产和科学研究中的多个领域。无人机在飞行和作业中产生大量数据,普通设备难以完成这些数据的分析处理。为此,研究了大数据在农业无人机上的应用。工作时,由硬件设备采集巨量数据,Hadoop大数据分析技术运行相应算法,经过一系列处理获得有用的信息。利用无人机对油菜地和山茶园的信息进行采集,其大数据分析处理功能在航线规划、飞行控制和图像处理的测试中取得了理想效果。此研究可以推动大数据与无人机的结合,为无人机性能升级提供技术支撑。

Big data is a kind of data set that can not be analyzed and managed by ordinary software in a certain period of time. It has the characteristics of scale, diversity and high speed. Big data is generated under the corresponding needs and has been applied to many fields in social production and scientific research. UAVs produce a large amount of data in flight and operation, and ordinary equipment can not finish the analysis and processing of these data. This paper studies the application of big data in agricultural UAVs. The huge amount of data is collected by the hardware devices. Hadoop big data analysis technology runs the corresponding algorithm, and after a series of processing, it can obtain useful information. The UAV collected information from the rapeseed and camellia, and the big data analysis and processing function achieved the ideal result in the route planning, flight control and image processing test. This study can promote the combination of big data and unmanned aerial vehicles to provide technical support for the UAV performance upgrade.