Integrated system of diagnosis for fruit tree diseases and insect pests

The advantages and disadvantages of Neural Networks (NNS), Expert Systems (ES) and Geographic Information System (GIS) were analyzed in this paper. A multiple knowledge acquisition approach including expert interview, questionnaire, web-based search and literature review was adopted. A prediction subsystem was developed for predicting the development tendency of fruit tree diseases and insect pests by using the MATLAB neural network toolbox. The subsystem was trained with 11 years' meteorological information and occurrence status of fruit tree diseases and insect pests in orchards of Yantai city. According to the experimental results, the integrated system is approved feasible and effective for the diagnosis for fruit tree diseases and insect pests.