The Expert System Of The Diagnosis And Treatment Of Corn's Diseases, Pests And Weeds Based On Frame Expressed

AI (Artificial Intelligence, referred to as AI) is an edge of the development of the subject, in 1956 in the United States Dartmouth University held "on the simulation of intelligent machines with" the birth of the symposium on. It is computer science, information theory, cybernetics, neural psychology, philosophy, linguistics and other cross-section this infiltration. Artificial intelligence expert system is a computer program that can use knowledge reasoning, the only solution to the experts to solve complex issues. In other words, the expert system is a simulation expert decision-making ability of computer systems. Agricultural Expert System, is the use of artificial intelligence expert system technology, pooling of knowledge in the field of agriculture, models and expertise, such as the use of appropriate knowledge representation and reasoning technology strategy as the carrier of the information network for agricultural production managers to provide advisory services, science Farming, husbandry, such as scientific guidance.In recent years, with population growth and rapid socio-economic development, "Population, resources, food, the environment," the structural problem has been caused widespread concern around the world . Food production and food security have a direct impact on the sustainable development of agriculture and people's living standards. Corn is secondary grain only to rice, Beacause animal husbandry and corn meatpacking industry are developing, quantity of corn is constant increasing, Inadequacy of agriculture extend system and the long-term, heavy reliance on chemical control, problem of pesticide resistance by pest and pestcide residue on agricultural products are severe. It threats to the healthy, sustaining development of the corn industry and animal husbandry. Corn is the main food crops, corn grass pest prevention and diagnosis has been the study of agricultural science and technology personnel of the hot spots. According to the nowadays production conditions of JinLin province, The expert system was developed by utilizing the knowledge of agricultural production, computer science and Visualization and so on in the paper. The design of the system was made the best of the life-period method of the software engineering, designed phase, and the summary design project of the whole system was brought forward by using the configurable analyses method. During designing and realization of the system, the author collected some materials for the system and communicated with domain experts on the knowledge of The occurrence of plant diseases and insect pests of corn during the onset and the law and plotted the database stream char of the expert system, then created sub-function chart by using the analysis method of the database stream. To realize the functions of the maize precision fertilizer expert system, Visual language Delphi 6.0,Access2003, multimedia technology .etc were used in the system. Considering the characteristic of operational research, the author designed four function modules, which were not been isolated one another, but integrated to all modules. The system mainly included Diagnostic Module, query module, the basis of the data module and the maintenance of Diseases, Pests and Weeds and the relationship between the yield management system module and so on. Every function modules included some sub-function modules.Our effort was made to develop the expert system cating for the end-users, which include grass-root leaders, agricultural extension officer, farmers. The knowledge used to develop the expert system was retrieved from literature, experience of experts, scientific payoffs of project, etc. Meanwhile, some studies were carried out intentionally to renew the knowledge of the system.In previous studies, and is based on knowledge production Diseases, Pests and Weeds, said the research, and many remain in the theory and on the mechanism of the lack of specific, timely and systematic studies, no more new technology The new method applied to the study. Database, artificial intelligence, management information systems, decision support systems, network technology and information integration technology to diagnose Corn Diseases, Pests and Weeds in the future development trends. In this paper, combined with theoretical models of maize in Jilin Province established a system of expert diagnosis and treatment of Diseases, Pests and Weeds, Diseases, Pests and Weeds to the traditional maize research has injected new vigor and vitality. The main innovation can be summed up as follows: Corn Diseases, Pests and Weeds in Jilin Province to establish a comprehensive database; Jilin Corn Diseases, Pests and Weeds on the model of diagnosis, databases and other related information into a further sum and to enable them to be more accurate to guide the production of farmers , To increase their production, create more economic and social benefits; the establishment of an open data interface. Mainly in the establishment of a database on ways to enhance and improve. Before the database is the most static, it is difficult for users to update, it is only through the development of proficiency in computer programming or programmers can do that, in order to avoid this problem again, this system into an open data interface . So that the front of the system operator can database of information Diseases, Pests and Weeds, Diseases, Pests and Weeds, as well as information on user rights and production relations amend the model to ensure timely and accurate system updates; the establishment of a variety of ways to control and use of corn Diseases, Pests and Weeds Expert System. Users according to their own actual situation, to choose suitable methods of Corn Diseases, Pests and Weeds symptoms, so the system can provide more services to people; in the establishment of C / S mode of expert systems, knowledge and access to a self-designed templates to shorten the software development And development time.Corn Diseases, Pests and Weeds expert system for diagnosis and treatment of major development in Jilin Province is to use existing data for the raw data, visual programming technology and expert system technology to achieve a space information, decision-making intelligent reasoning, in one visit The expert system, the system can not only achieve success corn Diseases, Pests and Weeds and open information resources sharing, allowing users to quickly and easily query, retrieve the data needed, but also to provide users with scientific and rational diagnosis program. Achieved with less investment, greater access to economic and social benefits.The Diagnosis and Treatment of Corn's Diseases ,Pests and Weeds depends on the experience of Agricultural technicians greatly because of complexity of agricultural production.While the Diagnosis and Treatment of Corn's Diseases ,Pests and Weeds is able to make this complex task more effective,so it has been regarded to an expert stay in rural areas . This paper in the view of the 'bottle neck' problem in based on the frame description of symptom of corn's diseases, pests and weeds, this paper took advantage of knowledge project's method and technology, and combined uncertainty inference and dispelling strategy of matching conflict and technology of multimedia to realize the expert system of corn's diseases, pests and Weeds which expressed on the basis of frame, and this system was used to imitate domain expert's thinking and supplement or substitute for agricultural experts to guide production. This paper emphatically expound the questions which are the totality structure of system, knowledge express, inference mechanism, the realization and apply system and so on.