Plant Growth Identification and Control System Based on Cloud Web Service

• Main Authors: Ming-Yen Lin, 林銘彥
• Other Authors: Jui-Jen Chou
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/03693625950647816609

碩士 === 國立臺灣大學 === 生物產業機電工程學研究所 === 102 === In this study, we develop a plant growth control and identification system based on cloud, because of the scalability of cloud resources and the cross platforms integration of web service. Thus the system is constructed by using service-oriented to integrate the capability of control and identification. To combine service providers, service requesters and service brokers, not only the resources can be shared and efficiently used, but also reduce the cost of operating and experimental, and improve the quality and quantity of plant growth. In this study, the system include three parts: the cloud service platform, the control and identification system and the gateway. The cloud service platform is like services brokers to integrate services, and the service requesters calls the services on the cloud service platform on demand. The control and identification system plays a role of service provider, which provide remote control, monitoring and better growth parameter identify service. The cloud service platform and the control and identification system are communicate through the gateway. The gateway works as two-way web service interaction, data transmission and conversion, services integration. The purpose of the control and identification system constructed in this study is increasing the crop growth status observability and the environment controllability in order to observe the crop growth status, solve the lack of observability, high cost and high-risk situations in mass production. Thus the control and the monitoring structure is designed in two parts: the comparison group platform which gives crop growth environment parameters and growth status as reference input for the experimental group platform. The experimental group platform for crop experiment. The experimental group platform will track growth environment parameters to be consistent with the environment of the comparison group platform, and then change one of the environment parameter according to experimental design. The rest of the environment parameters will continue tracking the reference input. By comparing the crop growth status with each other in real time, we can identify the crop growth parameters. Therefore, operation of the system capability include real time environmental monitoring, real-time plant growth status detection, data capture, record and better growth parameter identify of crop. Based on those, we use web service technology to develop three kinds of service include historical data retrieve service, real-time environmental monitoring service and system-control service. We integrate these services to the cloud services platform, so that the service requesters can operate the control and identification system through interface of services integration. Briefly, the system in this study use cloud computing, internet and web service technology to integrate needed resources. Service requesters can operate the equipment located throughout by the virtual environment on the internet.