The Design And Implementation Of Mutton Sheep And Goat Production Management And Diagnostic System Based On Internet

Mutton sheep and goat is important farm animals in China.With the improvement of large-scale mutton sheep and goat production, the management and diseases questions are increasing. Therefore, in order to assure the healthy and harmony improvement of the industry, software for management and diagnose are necessary. Nevertheless, there is limit diagnose ability and quantity in the farm of mutton sheep and goat production, as a result, it’s necessary to development production and diagnostic system for mutton sheep and goat.The system references existing knowledge and expert’s experience, used the programming language such as ASP, VBScript, JavaScript and database technology. The main function of the system consists of data-input, data-delete, data-modification, production reports, database backup, system restore, disease diagnose and disease information learning. Meanwhile, the system provides different function to different users, as a result, the safety of database thus protected. The common users may browse and consult in the system, but can’t use the function of data-backup and system restore, while the administrator can use the two functions in order to maintain and update the database and supervise the common users.The system has some technological features as follows:The data is easy-updating and sharing, so the administrator in different places can exchange the data and experience conveniently. The system based on internet and use-friendly, it can work whenever and wherever, therefore, significantly economic and society benefit can be produced as far as possible.The thesis gives a detailed introduction of the system, including methodology and technology route, system structure and function design, database construction and realization, system construction and realization. Structuring and realizing method of main function module is detailed and lay stress on the key technology. One example is demonstrated to show the process of mutton sheep and goat production management and disease diagnosis.