An artificial neural network-based expert system for fruit tree disease and insect pest diagnosis

Gang Liu, Xuehong Yang, Yinbing Ge, Yuxin Miao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper reports the development of an expert system for fruit tree disease and insect pest diagnosis based on artificial neural network (ANN) and geographic information system (GIS). A multiple knowledge acquisition approach was adopted, consisting of interview expert, questionnaire, web-based search and literature review. The production rule was adopted as the formation of knowledge representation in the system. The reasoning process adopted a control method of depth precedence. In the prediction subsystem, the MATLAB neural network toolbox was used to predict the development tendency of fruit tree disease and insect pest. The subsystem was trained with 11 years' meteorological information and occurrence status of fruit tree disease and insect pests in orchards of Yantai city. The ring spot, a fruit tree disease, was chosen as the research object to compare the predicted value with the actual value in this study. A GIS platform (ArcInfo) can provide the functions of spatial and temporal analysis, and was used to analyze and display the development tendency of fruit tree disease and insect pests. Preliminary results in developing a web-based expert system for fruit tree disease and insect pest diagnosis are also summarized.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06
Pages1076-1079
Number of pages4
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06 - Ft. Lauderdale, FL, United States
Duration: Apr 23 2006Apr 25 2006

Publication series

NameProceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06

Other

Other2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06
Country/TerritoryUnited States
CityFt. Lauderdale, FL
Period4/23/064/25/06

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