Plant Pests Long-distance Diagnosis And Consultation System Based On ASP.NET

The network consultation pattern of the plant diseases and insect pects diagnosis was established on the base of Browser/Server by adopting the brand-new Web development tool- ASP.NET and the C# programme language. The knowledge database of plant diseases . and insect pects was founded by adopting the database system of Microsoft SQL Server 2000. In structural design of the core datasheet, taking out the standardization character of the plant diseases and insect pects diagnosis,it is benefit to querying and analyzing the key of diagnosis on the knowledge database. The new pattern of the plant diseases and insect pects diagnosis of computerization was established by using the advantage of the query and searches the database.It has taken the fashion of more routes and entrances on the choice of the plant diseases and insect pects diagnostic pattern. According to the searches table of the plant diseases and insect pects, the two-fork table diagnostic pattern put the messages into the datasheet, simulating the course of human search the two-fork table, coming ture the flow of the two-fork searches by programme. With much agility and dependability more routes diagnostic pattern may avoid the misplay because of the unproper choice of the two-fork routes, by the course of search from anyone character choice. According to user's answers (choices) man-machine conversation pattern reduce the range of searches one by one question and educe the diagnostic result, enhance the diagnostic practicability and intelligence.Combining Multimedia technology and database technology, the consultation and recognition system of the colored picture of plant diseases and insect pests has been structured and collected nearly 2980 sheets of the colored picture of plant diseases and insect pests of plant, management and inquiry of database of mode has carried on according to different categories, this kind of search mode that combines picture and text has the characteristic with simple and direct image and received by user at the basic level favourably deeply, has supplemented the defect that the characters describe. Meanwhile, after receiving the result from the long-distance diagnosing , the colored picture of plant diseases and insect pests access relevantly through data base administration, users can tell...