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本文研究采用移动互联网技术中Web service的方式采集玉米病害的图片数据,使用移动终端作为病害信息采集的主要工具,在服务器端使用SVM(支持向量机)分类方法对病害加以识别,并将结果实时返回给移动终端。提高了农业生产者和技术人员的效率,同时证明SVM在分类识别时训练样本较少情况,仍然具备较好的泛化能力。实验中对SVM参数进行了调整,发现本文方法比较适合于玉米病害的识别。
This paper studies the use of Web service in mobile Internet technology to collect corn disease picture data, the use of mobile terminals as the main tool for disease information collection, the use of SVM (Support Vector Machine) classification of the server to identify diseases, and the results of real-time Returned to the mobile terminal. The efficiency of agricultural producers and technicians is improved. At the same time, it is proved that SVM still has a good generalization ability when there are fewer training samples in classification and recognition. In the experiment, the SVM parameters were adjusted and found that the method of this paper is more suitable for the identification of maize diseases.