Design And Realization Of Remote Diagnosis And Management System For Maize Chilling Damage

With the rapid prevalence of precision agriculture, more and more innovative and effective research on preventing various agrometeorological disasters are required to reduce its restriction on agricultural production. The crop chilling damage is one of the typical agrometeorological disasters, for which, there exists the most important issue on how to prevent and reduce its impacts by more effective diagnosis and accurate prediction. Fortunately, the rapid development of agricultural information technology, which is represeted by computer technology, especially by Internet technology, provides an important opportunity to work out the remote diagnosis and management system for agrometeorological disasters.Through investigating the key technologies of the remote diagnosis and management system,a web-based management system was presented on the basis of collecting and processing the experience and knowledge related to maize chilling damage in northeast China. For the computer program, this system was developed by J2EE and Java. Combined with analysis of the environmental data acquired from the wireless telemonitoring system setted up in the field, the real-time forecast of maize chilling damage may be made out just through the Internet.The main purpose of designing this system is to realize the systematic function by accessing Internet. By logging in this system, users can get the following services: taking options from active and passive countermeasures for reducing maize chilling damage, making real-time management, getting reference of experts'knowledge and executing system administration, etc. Besides reliability, easy maintenance and operation, the system also has wide applicability that could provide an universal system platform of remote diagnosis and management for more crop meteorological disasters by rebuilding the data-base and knowledge-base.In structural design, this system consists of three tiers:1) Data-tier: including real-time data of the fields acquired from the telemonitoring system, historical data collected from the meteorological stations and experts'experiences. This system has evident advantages in data acquisition, such as real-time and continuous, complete,accuracy and automatic updating features, which promote the functions in real time decision-making and pertinence.2) Service-tier: providing high-quality services for users, including information query, data analysis using knowledge model and system forecast, etc.3) User-tier: providing the system interface. From the user's point of view, the system is a decision support system based on the B / S model and can be accessed through Internet. At any time and any place, users can login and run the system via a Web browser to access remote information services and decision-making management support.Some advanced technologies adopted in the system can be summed up as the integrated innovations for agrometeorological disaster forecast, which mainly include the followings:1) This system can be run on Internet platform. It took the lead in realizing wireless telemonitoring system setted in the field for the research of forecasting and diagnosing crop chilling damage, which provides an important foundation for enhancing the veracity of diagnosing disaster and decision management. Besides this, for the computer program, this system is programmed by Java,which has good universal and patulous features. Because of this, it is easy for the system to upgrade and extend laterly.2) The paper systematically summarized research results on chilling damage. Compared with several past indexes of maize for the chilling damage, the comprehensive index of maize for the chilling damage makes agriculture and biological meaning more clear.It mainly discussed and analyzed the hurts possibility when the low temperature takes place at distributed the budding stage and with the number of delaying-days as an auxiliary index.