Implementation of Measurement and Control Cloud Platform for Agricultural UAV: Case Design of Cloud Computing Course

Abstract

This paper presents the design of a cloud platform for the measurement and control of agricultural UAV. The plateform aims to streamline the management and deployment of UAV by enterprises, help agricultural scientific research institutions in conducting scientific research work, data collection and analysis, and provide basic agricultural data support for the government to making agriculture-related decisions. Based on the characteristics of high reliability, high security and high expansibility of linux on Z, this system adopts openstack, z/VM, hadoop, tomcat server, J2EE and other technologies to build a fast, stable and reliable cloud platform. Beidou navigation system was used to locate the UAV in real time. This system has the characteristics of convenience, fast, real-time and high efficiency, and provides students with a comprehensive application of cloud technology experiment case.