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The Design and Application of Intelligent for Pepper Production and Management Decision Support System

Author: CaiLin
Tutor: DuWenCai
School: Hainan University
Course: Applied Computer Technology
Keywords: Intelligent Decision support systems Code reuse Combination Forecasting Fuzzy algorithm
CLC: TP18
Type: Master's thesis
Year: 2010
Downloads: 45
Quote: 0
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Abstract


Agricultural information, digitization is the inevitable trend of development in the 21st century world agriculture, is one of the important content of the modernization of agriculture. Strengthen agricultural information systematic construction is to promote the basic work of the agricultural information. Agricultural Expert System After decades of development, its theory and technology mature, feature enhancements, but due to the complexity of the process of agricultural production and the impact factor, the less intelligent design, most of the agricultural expert system usage and popularity are not strong. The issues in support of the welfare fund projects of the Ministry of Agriculture tropical characteristics spicy beverage crop management expert intelligent system \system, to improve the degree of intelligence and practicality of expert systems. The paper is divided into five parts, in the introductory section describes the background and significance of this research, the analysis of the research status at home and abroad. Demand analysis of the project on the basis of the content of this research and technology roadmap. The second part describes the architecture, the system uses the functional partitioning. Detailed design of the functional modules of the system, the typical functions of business processes and the data dictionary. The design of functional modules fully take into account the system's versatility and scalability. The third part focuses on key technologies. The pepper production forecast predicted by the model, designed combination forecasting model based on a single prediction model to achieve the improvement of yield prediction accuracy, and constantly revised model modification technology to model, maintain the stability of the prediction model. The fuzzy algorithm through fuzzy state of the mathematical theory of decision-making, fuzzy decision-making method is designed for the system, the membership functions and fuzzy clustering matrix in the system, enhance the relevance between modules within the system and the system smart the degree. The key technologies of the system design ideas more open. The fourth part is the visual design of the system. Way combination through the graphic display systems Home management of jiaoyuan, planting decision-making, such as the main interface. Design and Implementation of the elaborate production forecasts, fertilization decision typical functions of control and business logic layer and the presentation layer. The fifth part of the summary of the full text. Analysis of the strengths and weaknesses of the system, and proposed further research and improved intelligent pepper Management Decision Support System.

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