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

摘要：

为提升公众林业知识水平，促进树种知识的推广，以北京市乔灌木枝叶检索表中的枝叶检索知识为基础，采集乔灌木枝叶特征图片、树种知识及树种图片，使用产生式规则表示法对枝叶检索知识进行表达和组织，构建了枝叶检索知识的链式双亲表示模型，建立了乔灌木识别知识库，设计了乔灌木识别推理算法。在此基础上，研建了北京市乔灌木识别专家系统，实现了专家知识的存储、乔灌木识别推理算法以及乔灌木树种的识别。运行实例表明，采用产生式规则知识表示法构建的乔灌木识别推理算法，能够实现乔灌木树种的准确识别。

关键词: 乔灌木识别, 产生式规则, 推理算法, 专家系统, 知识库