A WATER QUALITY CHANGING PREDICTION MODEL FOR AGRICULTURAL WATER-SAVING IRRIGATION BASED ON PSO-LSSVR

Jian-Gang Dong, Feng Zhang, Yong-Heng Zhang

School of Information Engineering, Yulin University, 719000, Yulin, China

In order to improve the prediction of early warning and agriculture information processing level of water quality for agricultural water-saving irrigation, using mathematics and information theory model to predict and estimate the possibility of future changes in water quality based on getting the quality data by using sensor device. The basic process, model for water quality prediction of agricultural water-saving irrigation, forecasting and early warning method of establishing process is designed. Finally, was using the PSO-LSSVR forecasting method to predict the water quality in the agricultural water-saving irrigation of water quality changes prediction. Simulation results show that the parameters of LSSVR were optimized by PSO algorithm, and overcome the cross validation to determine the influence of subjective factors of LSSVR parameters, has better prediction accuracy and generalization ability, its precision can satisfy the need for intensive irrigation production management.