Research and Implementation of Intelligence Decision Web Services Based on SVM for Digital Agriculture
Tianen Chen · Computer Technology and Development · 2010
To easily access to remote intelligent decision services for agricultural users,support vector machine(SVM) is applied to intelligence decision in the agricultural field,and with the general LIBSVM support vector machine package,intelligent decision Web service based on SVM is developed in the J2EE platform.Through Web service the open and loose intelligence decision system for digital agriculture can be built.Radial basis function is the kernel function of support vector machine model,and in fact the SVM based on RBF is a classifier which can be used for classification in the agricultural field.Building this model is to get automatically the amount and value of support vector through learning samples without artificial intervention,so it becomes more easily,more impersonally and more efficiently.