Expert Decision System For Identification And Control Of Longhorn Beetles Damaging Forest In China

Longhorn beetle exists in most area in China with extensive damage. Taking longhorn beetle as the study object, an expert decision system for identification and control of longhorn beetle in China, which is based on the long-distance service of network, has been developed in this paper.The aim of the study is to make users get needed information at any moment according to the cue of interface, help foresters solve the problems of insect pest of longhorn beetle on forestry and production. For example, the system helps identify species of longhorn beetles and give integrated prevention and control measures. To make the system systematic, professional, integral and practical, and to provide different users fast inquiry and search function are targets of the study as well. The system has the advantages such as easy operation, convenient using and good expention ability for knowledge base's update.Longhorn beetles damaging forest in China have been investigated and analyzed statistically. This paper collects and arranges 84 species of longhorn beetles'detailed information belonging to 4 subfamilies of Cerambycidae (Prioninae, Aseminae, Cerambycinae and Lamiinae), such as chinese name, english name, scientific name, synonym name, byname, taxonomic status, morphological characteristics, biology characters, damage features, host, geographical distribution, prevention methods and pictures.Two binomial taxonomic key tables are created based on morphological characteristics, host plants and damage features of longhorn beetles respectively. Then, according to the need of system, the first binomial taxonomic key table is modified so as to get database expressed as knowledge base. Relevant pictures of longhorn beetles are processed and web-maked using Adobe Photoshop CS and ACDSee3.1.The expert is developed on DistDiag, the general platform of remote diagnosis multimedia expert system of agricultural pests, which was designed by China Agricultural University. The database is adjusted, and datasheets are maked in the database according to information feature and taxonomic status of longhorn beetles. Then datasheets are filled with content of revised binomial key, modified web-format pictures and detailed information of each longhorn beetle species to establish knowledge base.The embranchment node search technology of binary tree structure in the computer data structure is used for ratiocination in order to realize the assistant identification of classification. Inference engine of the system is actually search course of the embranchment node of binary tree structure.System are integrated and tested in this paper. The system subpanel is done with HTRO CD record tool. User manual is compiled.In this study, making full use of experts'knowledge, ideas, principles and methods to solve problem, the study develops an expert system that can identify species of longhorn beetles rapidly and give integrated prevention and control measures precisely is developed.Computer science and prevention of longhorn beetles are organically combined to promote the interdisciplinary cross, and make expert system and network technology applied widely in the biology field.