| The Myrica Expert System of Production and Manegement (MESPM) is one of the most important platforms which can transfer the knowledge and experience of red bayberry experts and the agricultural high-tech achievements to farmers and producer of farm products processing and provide the important support to implement the network and intelligentization of Myrica production management. With the application MESPEM is the effective means to speed up the high-quality, standardization, scalization and industrialization of red bayberry production, and also the crucial measure to lower production costs and agriculture enviroment pollution and to enhance production profits. Therefore, it's significantly economical and ecological meanings.1. MESPM which is exploitative and extensible System of Content Management(CMS) is based on the DotNetNuke (DNN) expert system. It gives a brief introduction to several prospects of the platform, including workflow, system architecture, knowledge representation and reasoning mechanism. 2. The intelligent decision-making functions of MESPM have not only query of red bayberry general knowledge and information, but also optional decision-making on the agronomic measures ecological or chard establishing, variety selection, nursery and transplant, soil-fertilizer-water management, trainning and pruning, diagnosis and control of disease and insect, diagnosis and correction of lacking element.3. The article system atically summarizes the theoretical knowledge, technology system experience and research achievement of famous Professors in the red bayberry field, as well as absorbs there lated knowledge in ecology, plantprotection, soil and fertilizer. then they are formalized according to knowledge representation, some rules are built. By the rules, some knowledge bases are developed, including the knowledge base on ecological orchard establishing decision-making, the knowledge base on variety choice decision-making, the knowledge base nursery-stoct growing and transplant decision-making, the knowledge base on soil-fertilize-water management decision-making, the knowledge base on trainning and pruning decision-making and the knowledge base diagnosis , control of disease and insect decision-making , prevention and cure to the lack of element, fortification in natural disaster and the measure of tapping and recovering.4. The article discusses application structure of database, which closely as sociates with knowledge base, reasoner and computer-user interface. It contains the fact base on ecological or chard establishing decision-making, the fact base on variety selection decision-making, the fact base on nursery-stoct growing and transplant decision-making, the fact base on soil-fertilizer-water management decision-making, the fect base on plastic and prunning decision-making, the fact base on diagnosis and control of disease and insect decision-making, the standard base on diagnosis and control of disease decision-making, the standard base on diagnosis and control of insect decision-making, the standard base on diagnosis and correction of lacking of element decision-making and standard of red bayberry process, etc.5. MESPM is a low-cost, efficient, easy to maintain easy expansion expert system network-based crossing-platform, The main characteristics of MES hold not only blocking, encapsulation and inherited attribute, but also ability of self-integration with knowledge and model treatment, logical inference and decision-making ability, high precision, reliability and open, and user-friendly interface and easy operation. reliability and good open, with a friendly user interface, operation is simple and easy to learn. |
