Research And Implementation Of Maize Diseases, Pests And Weeds Diagnostic System

The definition of ontology is "the explicit and formal specification of share conceptualization". It has been an important issue since it was proposed, because it can afford the semantic information of the resource that can be understood by the machines. Agricultural Ontology is a term of agriculture, the definition of the term, as well as the relationship between the norms of that system in the area belong to the ontology of the scope, the clear concept of the establishment, logical structure of agriculture in the right ontology, not only in the field of agriculture, also play a positive role in related fields. At this stage in our agricultural research on ontology is still an initial stage, but various agricultural research institutions in the ontology of the study also made some progress, the ontology of the new theory of the use of modern technology in agricultural production practice has become relatively popular research.The main work of the corn diseases, pests and weeds is a diagnostic system for Research and Implementation, including: corn diseases, pests and weeds of the ontology build; based on the development of B / S structure of the corn diseases, Pests and Weeds diagnostic system; achieve corn diseases, pests and weeds of the full-text search; JENA use of the realization of the ontology retrieval operation. This article is the work of 863 national projects "corn accurate study of the operating system and application". Specific activities include the following:First of all, sum of the ontology of the current situation and development trend, the ontology of agricultural development and research of the significance of that simple, detailed ontology of the definition, description of the methods and ways to build tools to build, in the full study ontology and the theory of building a technology based on the use of the "seven-step" detailed account of corn diseases, pests and weeds in the field of ontology building course. Corn Diseases, Pests and Weeds on the ontology to determine the scope of the area and to consider reuse of the existing ontology, the ontology set out the important terms, the definition of categories and types of inheritance, property and the definition of the relationship between the definition of property restrictions, to build an example. Building a relatively new tool used Protege4.0, to build a ontology good use of Protege4.0 own inference engine Fact++ and Pellet1.5 ontology of the library property and to carry out the logic of the concept of testing to ensure the establishment of the ontology structure of the treasury correctness. Ontology in the form of storage with OWL expressed in the form of ontology language and memory. In this paper, the ontology of the Corn Diseases, Pests and Weeds belonging to build a prototype stage and the bulk of the existing community library Corn Diseases, Pests and Weeds do not have the relevant ontology can use the library, so this article also need to build a ontology of experts in the field with the participation of gradually improved knowledge of the area in order to achieve a high degree of reuse.Second, the research database full-text search function in the Corn Diseases, Pests and Weeds query module applications. SQL Server 2005 full-text search is a new function for Microsoft SQL Server table based on the pure character of the full text of the query data, the full text of the inquiry may include words and phrases, or word or phrase in various forms. Corn Diseases, Pests and Weeds in the query module, the realization of the diseases, pests and weeds on the name of the incidence period, the incidence of symptoms, and the incidence of full-text search of the site. Users according to their own understanding of diseases, pests and weeds, using precise matching, matching keywords and match characters any way query, and receive the results of inquiries carried out the operation keyword tags, users can choose to want to understand the disease harm, a detailed description of the document, the diagnosis of diseases, pests and weeds have been achieve.Finally, based on corn has been building a good ontology diseases, pests and weeds use interface provided by the Jena and means to achieve the appropriate ontology to the operation and use of JENA reasoning functions provided by the realization of the symptoms of diseases, pests and weeds and diseases, pests and weeds of the name of simple reasoning. Jena by HP Labs (http://www.hpl.hp.com) development of the Java Development Kit, which for the RDF, RDFS, OWL provides a development environment, this article uses the latest version of its Jena2.5.6 . Corn Diseases, Pests and Weeds in the diagnosis, the user can choose to enter into the appropriate diagnostic modules, including the diagnosis of disease, the diagnosis of the diagnosis of weeds, diagnostic module in the system in accordance with the corresponding symptoms, characteristics of choice, and related symptoms characterized by the ontology when it has been established to build good, a user can choose more than one, you can only choose any of them, and then click to start the diagnosis, the system will be based on the user's choice of the appropriate symptoms and characteristics of the ontology in the library for search operation, read out the names of diseases, pests and weeds, diseases, pests and weeds and the name of the symptoms and characteristics of the list displayed, the user can click the need to be aware of diseases, pests and weeds, a more detailed description of the interface.In this paper, the significance and value of the research: the use of the relevant ontology of theory corn diseases, pests and weeds in the field of ontology building, building a ontology in the technical aspects of a certain amount of exploration and practice; to search the entire database technology in corn inquiries diseases, pests and weeds , To achieve a variety of ways inquiries; developed based on B / S structure of the corn diseases, pests and weeds diagnostic system (test version), Jena provided in the ontology for the operation of the interface and methods related to the practice, based on the realization of the symptoms Inquiries diagnostics. The system can be perfect for the agricultural extension stations in Jilin Province, and to help farmers, planting corn in a timely manner to address the occurrence of the problem of Diseases, Pests and Weeds. This article is only a preliminary study for the time being explored, particularly in the construction of diseases, pests and weeds of the ontology, there are many imperfections, the need for experts in the field of coordination of assistance for the planning and reasonable classification, in the reasoning of the ontology needs to build further The relevant rules and improve the diagnostic reasoning process to make it more practical value.