Research on Recognition of Maize Disease Based on Mobile Internet and Support Vector Machine Technique

Abstract

This paper studies acquisition of image data of maize disease using web service method, it is a kind of mobile Internet technique, using the mobile terminal as the main tool for disease information collection, identify maize disease by using SVM (support vector machine) classification method in server, then return the recognition results to the mobile terminal in real time. It improves the efficiency of agricultural producers and technical staff, at the same time that SVM classifications with small training sample still have good generalization ability. In the experiment adjusts SVM parameters, experiment shows that this method is more suitable to the identification of maize disease.