|
Bayberry production management system is a computer expert bayberry production knowledge and experience of experts in the field of high-tech achievements, and bayberry fruit and processed products transferred to the producer of a very important platform; bayberry production management is to achieve networking and intelligent important support; based on information technology to promote the production of quality red bayberry, standardization, scale and industrialization of the effective means; also rely on high-tech push to reduce bayberry production costs, improve production efficiency and reduce red bayberry agro-ecological environmental pollution fundamental guarantee. Therefore, research and development bayberry production expert system has important economic significance and ecological significance. 1, the system uses the development platform. Bayberry production expert systems to open source, scalable content management system DotNetNukc (DNN) for the expert system development tools. This paper briefly describes the principle of the structure of the platform, workflow, architecture, knowledge representation and reasoning mechanism. 2, in the intelligent decision-making, expert systems bayberry Myrica knowledge not only for general information inquiries, and can provide ecological production Bayberry build gardens, species selection, seeding and planting soil, fertilizer and water management, pruning, pest and disease diagnosis and prevention, diagnosis Deficiency and treatment and other decisions. 3, the paper systematically and comprehensively summarizes our various well-known experts in bayberry theoretical knowledge, technology systems, research knowledge and experience, while absorbing the ecology, plant protection, soil and fertilizer, and other fields of knowledge, and in accordance with expert system knowledge representation methods domain knowledge formalization process and build a knowledge base Bayberry decision to build gardens, variety selection decisions knowledge base, knowledge base nursery and planting decisions, Dohi water management decision-making knowledge base, knowledge base pruning and pest diagnostic decision-making knowledge and prevention , bayberry deficiency prevention knowledge base, knowledge base and bayberry Myrica severe weather defense postharvest processing knowledge base. 4, the paper discusses the application of expert system database structure. Specifically designed with the knowledge, reasoning closely related to human-machine interface, database structure, including the decision to build gardens Bayberry fact base, variety selection decisions fact base, nursery and planting decisions fact base, Dohi water management decisions fact base, pruning decision Facts library, pest diagnosis and prevention decisions fact base, disease diagnosis and prevention decision making standard library, pest diagnosis and prevention decision making standard library, nutrient deficiency diagnosis and treatment decision-making standard library and arbutus processing technology standard libraries. 5, bayberry production management expert system based, cross-platform, the system not only has the modularity, encapsulation and inheritance and other characteristics, but also has high accuracy, reliability and good openness. The system is efficient, easy to maintain, easy to expand, user-friendly interface, simple operation, easy to learn.
|