| Arabica Coffee is one of the advantages of the crop in Yunnan. Due to the unreasonable management of water and fertilizer, a lot of resources are wasted and the yield and quality of Arabica Coffee are affected. Using the scientific method to manage the Arabica Coffee reasonably is an important guarantee for improving production, while agricultural information technology is an important means to improve the existing working methods. After studying a number of design idea based on agricultural expert system, the thesis constructs expert system of management of water and fertilizer for Arabica Coffee, so that people could understand and access the information of seedlings cultivated water and fertilizer management through the network and make the irrigation and fertilization decisions of the Arabica Coffee in dry hot valley. Then the agricultural workers could manage the Arabica Coffee specifically. Therefore, building an expert system of management of water and fertilizer for Arabica Coffee based on Web has an important significance for promoting the agricultural advanced technology and management experience and raising the level of agricultural production and management.This thesis uses Arabica Coffee for study and management of water and fertilizer for research purposes, which combined expert system theory, ASP.NET, database technology, network technology, the theory of water and fertilizer for Arabica Coffee. We put forward the framework of the expert system based on Web, by collecting and organization information. Then we design the function module, which was consist of data information in different treatment, water and nitrogen monitoring and alarm, decision and inference, expert knowledge, expert solve problems and system management. Then we establish expert database, which is consist of indexes under different water and nitrogen treatments, meteorological data, alarm information, water and fertilizer knowledge. And design the reasoning mechanism of system. According to the analysis of the system, this thesis accomplishes the function of the expert system. This system aims to provide expert diagnosis solutions for Arabica Coffee scientific and technical workers, production plant managers and related people, reduce paper work operations and improve work efficiency. The main contributions of this thesis are in five folds as follows.1. According to the issues of the test data management, the expert system establishes a set of index data modules under different water and nitrogen treatment. The user could inquiry a variety of data, making a reasonable editor. This method replaces the manual paper-writing and analysis data, increasing work efficiency and saving labor costs.2. Using Penman formula and the correlation analysis between SPAD and nitrogen application of leaves, the expert system designs alarm module for the crop water requirement and monitoring module for nitrogen application of leaves, achieving alarm and monitoring has laid a solid foundation for management of water and fertilizer.3. According to the total program of the expert system, the system combines with expert system theory, determining the knowledge acquisition, knowledge representation, reasoning strategies, methods and format of each part of the man-machine interface. It also accomplishes the expert reasoning and decision-making, which is running normally.4. Part of database is domestic firstly, such as the index database under different water and nitrogen treatment, irrigation quantitative decision database and leaf nitrogen content monitoring information database, although the content need to improve, but it has build the software process and database framework of expert system at this stage.5. This thesis establishes an expert system based on Web. The expert system has good maintainability and popularity through taking advantage of the technology of Web and agricultural information network and the convenience of the knowledge based on Web to maintain and update. |
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