The Method of Wheat Stripe Rust Predicting Base on Phase Space Reconstruction and Support Vector Machine

Abstract:

Wheat stripe rust prediction has very vital significance for the prevention and control of wheat disaster.This paper forecast the wheat stripe rust incidence in Chengdu using PSR and LSSVM.The Meteorological data was as input parameters, and the incidence rate was as the output parameter in the test. To predict the 20 cases samples ,this paper got better predictive effect.The method in this paper is much better than SVM, through the comparative analysis.So,the model Is very effective to For wheat stripe rust prediction.