The Computer Assisted Instruction System Of Plant Pathology Based On C#.NET And Database

Supported by C#. NET platform and database, the CAI (Computer Assisted Instruction) system on plant pathology has been established. A normalized database on the knowledge about plant pathology has been build up and the multi-approaches data retrieve system has been established, supported by ADO.NET data access technology. A dynamic teaching program has been put forward, supported by the multimedia technology and smart interactive query model.Selecting an appropriate database and information access technology is the key to the CAI system of plant pathogen, which is used to transmit and display information. Based on technology of Microsoft Access database, the rule of constructing plant pathology database has been discussed. The typical features of message retrieval of plant pathology such as plant pathogen and disease have been extracted in structural design of core datasheet. Using powerful storage and management functions, many difficulties, which are hard to remember and differentiate in distinguishing and identifying plant pathology, have been overcome. Using advantages of computer on the database query, the function of visiting knowledge base has been improved and a pathological pattern has been raised.Information retrieval is one of the core technologies on developing system. Using object-oriented technology and visual programming, Multi-inquiries model has been carried out. Meanwhile, the intelligence and the flexibility of system have been strengthened. In the mode of plant pathogenic classification and retrieval, classified information has been stored in the corresponding data tables to simulate search process of artificial two-branch-key identification. To realize the identification of different plant pathogen and improve the practicability and intelligent of diagnosis by C# programming language, the precise, vague inquiries modular models for full-text search and pathology terminology have been demonstrated in the mode of pathology information retrieval, which display the characteristics of software for computer-aided education.Integrating multimedia with database technology, the image retrieval has been discussed. Collecting lots of plant pathogens and disease information such as images name and other relative messages in datasheets, the function that queries and shows images information has been realized. The system of image diagnosis and awareness has been set up. This retrieval mode, which integrated images with literal, offset the defect of textual description and made consultation of pathology much more directly.The test questions of plant pathology have been cleared up to the datasheet. It has many forms such as choices, judgments, fills and answers, etc. A practice and test system has been established by C# programming language. It makes the users know how much knowledge that has been mastered. Using examples of class provided by C# programming language, the compile of code are more convenient and orderly when the main functions such as creation, modification, answer and comment are formed.Based on the collecting information of plant pathology, the navigation system has been established. In this system, many different key words have been set up in order to improve the professional search functions. It realizes the organic combination of data access and web navigation, and the new consultation model of pathology has been provided.Using the flexible and convenient C# programming language, a simple geographic information system of plant diseases has been build up based on database technology. This system is no limited by the complex professional software such as MapInfo and MapX. And it makes the sharing of date and information on public platform more conveniently.According to the standard of network courseware, the consultation system of network courseware has been established on ASP.NET platform, which integrated school-teaching, experiment and practice. Visiting the database through ADO.NET makes the operation more conveniently. Meanwhile, Application performance and efficiency in the use of databases have been improved based on breakpoint data visit.