Research And Implementation Of Expert System For Diagnosis Of Common Diseases Of Apple

At present,the problem of apple disease is the main reason for the reduction of apple production in China.In many areas,annual production is reduced due to disease problems,resulting in huge economic losses.As the main economic crop in the Yuncheng area,apples in the Yuncheng area have produced huge benefits for the economy of the Yuncheng area.However,apples in the Yuncheng area have been reduced in production due to disease problems,which in turn affects their economic benefits.If image recognition can be used in the early stage of apple disease,by analyzing its branches and leaves,it is analyzed which apple disease is obtained,and then the application is carried out to remove the disease.This paper designs and implements a diagnostic expert system for apple diseases based on image recognition and agricultural expert systems.The system combines apple disease information and computer knowledge,based on apple disease cases,applies computer knowledge,uses algorithm analysis to train image data,and uses test samples for model training,linear fitting,etc.The recognition is improved so that the application of real life can be performed.The system can be used in a variety of apple orchards,fruit farmers can use this software for the analysis of apple diseases.This article illustrates the overall design based on image recognition and agricultural expert system,including image recognition and expert system.achieve.