关键词: 乔灌木识别, 产生式规则, 推理算法, 专家系统, 知识库

Abstract:

In order to improve the public forestry knowledge level and promote the spread of tree species knowledge, based on the branch and leaf retrieval knowledge in the Beijing tree and shrub leaf retrieval table, this study collects pictures of the tree and shrub leaf features, tree species knowledge, pictures of tree species in Beijing. Using production rules representation, this study expresses and organizes the branch and leaf retrieval knowledge, and then constructs the chain parental representation model of it, designs the knowledge base of trees and shrubs as well as the tree and shrub identification inference algorithm. Based on that, the expert system for recognition of trees and shrubs in Beijing is constructed, which realizes the storage of expert knowledge, the tree and shrub identification inference algorithm and the identification of tree and shrub species. As the running example shows, using the production rules knowledge representation, the inference algorithm can realize the accurate identification of trees and shrubs species.

Key words: recognition of trees and shrubs, production rules, inference algorithm, expert system, knowledge base