Research And Development Android-app Of Greenhouse Monitoring

With the development of agricultural information, enhance the quality of life, quality of agricultural products more and more to get people’s attention. The optimization and improvement of agricultural products, occupy an important factor in the agricultural industry. With the development of mobile Internet technology and communication technology, smart phones have become a necessity of life, Android has become the largest smartphone operating system subscribers. The Android application to the monitoring system in the greenhouse environment, enhance portability, automatic and immediate work of the greenhouse environment monitoring terminal moved to mobile intelligence platform has become a trend.This design uses architecture strategy B/S and C/S combines, in data acquisition and control terminals, using C/S structure, complete data acquisition and control. In the data storage and remote operation and maintenance aspects, the use of B/S architecture to achieve far-end data query entry, modification and other monitoring operations. Using WIFI, 3G, 4G and other network provides a bridge for data collection and transmission greenhouses; PLC and MCGS technology to provide a combination of acquisition and control; use ASP.NET dynamic WEB technology, combined with SQL Server database as a backend data provide support. Finally, based on the monitoring of greenhouse Android platform by APP, information collection, quality, traceability, equipment control, disease warning, video surveillance and other functions. Theme is currently applied more widely Greenhouse groups. By creating a mobile surveillance platform to meet the needs of different greenhouse crop monitoring.Design and Implementation of Mobile greenhouse monitoring software, making greenhouse workers on mobile devices to view data anywhere, anytime, to take appropriate measures in accordance with the monitoring data, avoiding the manual management can not grasp the problem of greenhouse greenhouse environment in real time. By querying the greenhouse crop physiological environment of historical data, complete the cultivation of the data analysis and decision-making prospects. Enhance the quality of production for the next crop to prepare.