Application of Intelligent Monitoring System in Campus Greenhouse

Traditional automated scheduling has been widely used in greenhouse environmental control, but it lacks of real-time environmental perception and feedback control so that the crop growth is not very well under control. In order to solve this problem, this study integrates the environmental parameters such as temperature, humidity, illumination, carbon dioxide concentration and soil moisture in the campus greenhouse that were used to enhance the crop growth environment. Sensors were layout to monitor the environmental conditions and then collected data were transmitted by wireless connection to a remote server. The server accepts the environmental data and stores them in database for statistical analysis. Based on the analysis result, the server provides feedback control to drive relative equipment. All of this can be controlled by the user through mobile devices or graphic user interfaces that display environmental parameters in graphics. This would help to smartly change the environmental conditions to achieve intelligent monitoring and control.