Expert Decision System for Identification and Control of Longhorn Beetles Damaging Forest in China

Beetles, are widely distributed in most areas, damage is extremely broad. In this paper, beetles for the study, developed a network running remotely identify major Chinese beetles governance expert decision support system. Research goal is based interface prompts the user can always extract the necessary information to help solve the forestry and forestry workers encountered in the production beetle pest problems, such as help identify beetle species, to submit a comprehensive prevention and control measures; allowing the system to achieve systemic , professionalism, integrity, practicality, you can query for different users with fast search function. The system operation is simple, easy to use, has good scalability, ease of knowledge base updated. The main beetle infestation trees on a systematic survey and statistical analysis. Collect, collate saw beetles Cerambycidae subfamily subfamily quiet beetles, beetles subfamily and Lamiinae four subfamilies of 84 kinds of beetles detailed information, such as the Chinese name, English name, scientific names, aliases, classification position, morphological characteristics, habits, damage characteristics, host plants, geographical distribution, control methods and pictures thirteen. Based on morphological characteristics of beetles, infestation shaped combination with host plants were prepared binomial retrieval table, according to the morphological characteristics of the system needs to retrieve the table for processing, in order to represent the database as a system's knowledge base. Using the software Adobe Photoshop CS and the corresponding beetles ACDSee3.1 picture processing and web production. Use China Agricultural University, research and development of agricultural pests multimedia remote diagnosis expert system common platform DistDiag for the system development work. Beetles kinds of information according to the characteristics and taxonomic status, make the appropriate adjustments to the database and the database to establish the corresponding data tables, the table will retrieve the contents of the modified data table corresponds to fill in the appropriate column, and add the appropriate already Deal Web format images and details of each beetle, build system knowledge base. Use of computer binary tree data structure search technology branch nodes reasoning process, classification of secondary identification. The system's inference engine is actually complete binary tree branch node search process. Complete system integration and system testing. CD burning tool with HTRO system information to disc, made into a system installation disk, and writing system manual. In this study, full use of the knowledge of experts beetles, problem-solving ideas, principles and methods of systematic research to be able to quickly and accurately identify and beetles can be integrated control measures proposed expert system, the computer science and control beetles organic combine to promote interdisciplinary cross, so that expert systems and network technology in the field of biology to be more widely used.