Title :
Research on pests and diseases diagnosis expert system of urban forest based on fuzzy reasoning
Author :
Zhang, Yanrong ; Wang, Nihong
Author_Institution :
Coll. of Eng. Technol., Northeast Forestry Univ., Harbin, China
Abstract :
This paper applies the fuzzy reasoning into the diagnosis expert system for pests and diseases of urban forestry. Firstly, the fuzzy reasoning and the expert system are introduced, and then the diagnosis expert system for pests and diseases is established based on fuzzy reasoning. Secondly, the knowledge library of the system as well as the knowledge expression based on fuzzy reasoning is introduced. At last, the equipment design of the expert system and the inference model are introduced in detail. In brief, this article describes the question of pests and diseases, applies the concept of fuzzy reasoning into the distinguish of pests and diseases, and then proposes a new kind of method of diagnosis for pests and diseases based on fuzzy reasoning. This method obtains the corresponding test result, and confirms that the method is validity and the model is accuracy.
Keywords :
diseases; forestry; fuzzy reasoning; diseases diagnosis expert system; fuzzy reasoning; knowledge library; pests diagnosis expert system; urban forest; Accuracy; Cognition; Sun; diagnosis; expert system; fuzzy reasoning; pests and diseases;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641465