LAUSR

To solve the problem that most irrigation systems have low irrigation efficiency due to lacking of necessary intelligent function, the work proposed a remote visualization intelligent irrigation system based on cloud services. In the whole system architecture, data acquisition module and intelligent irrigation module were the core sub modules of the overall system, and the detailed procedures were provided. This paper designed a remote visualization intelligent irrigation system based on cloud services, which was the ultimate goal of intelligent irrigation system. In the proposed system, we integrated the functions of remote irrigation and visualization to realize the intelligent irrigation of crops according to the Internet of Things (IoT) networks, and implemented the remote visualization by using the video monitoring technology. In additional, the key core component of the proposed system was cloud service—the basis architecture. Through the realization of remote visualization system of intelligent watering irrigation system based on cloud service simulation, real-time remote visual monitoring. With this real-time remote visual monitoring mechanism, the users could access video or image to observe the real-time status of crop growth whenever and wherever. Finally, we compared the performance diffidence between the proposed system and the remote irrigation system. The analyzed results demonstrated that compared with the traditional system, the proposed system has a unique visual advantage, leading to a great market prospect in the agriculture fields.