Abstract : A visual pests diagnosis system development tools based on binary tree (abbreviation: knowledge system development tools) was developed by techniques of computer visualization, binary tree, XML database and reasoning. This tool combined tree knowledge expression with rule-based reasoning machine, proposed the knowledge acquisition and the reasoning technique based on binary tree, and solved the problem of knowledge acquisition used for pests diagnosis with an expert system development tools–CLIPS. The reasoning machine with stateless continuous reasoning technology can improve the efficiency of knowledge acquisition and system reasoning. In this article, we introduced the components and working principles of the pest diagnosis system development tools, and described its usage with a simple example.
Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-345 (Part II), pp.300-308, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18336-2_36〉
https://hal.inria.fr/hal-01562787
Contributeur : Hal Ifip
<>
Soumis le : lundi 17 juillet 2017 - 09:50:35
Dernière modification le : mardi 18 juillet 2017 - 15:37:45
Document(s) archivé(s) le : vendredi 26 janvier 2018 - 22:48:35
Yun Qiu, Guomin Zhou. Research of Pest Diagnosis System Development Tools Based on Binary Tree. Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-345 (Part II), pp.300-308, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18336-2_36〉. 〈hal-01562787〉
