Forecasting method of water requirement of winter wheat
[Objective]Based on the meteorological data related to water demand forecasting of winter wheat,a water demand forecasting model with fewer parameters was constructed to improve the robustness of water demand forecasting,provides a more reliable method for forecasting water demand based on meteorologi-cal information.[Methods]Meteorological data of Qitai County in recent five years were selected,and the wa-ter requirement of winter wheat calculated by Penman-Monteith formula was approximately the real water re-quirement.Four variables including average temperature,wind speed,humidity and precipitation were taken as input parameters.The water requirement of winter wheat was forecasted,and the prediction of CNN-BiL-STM was compared with that of LSTM,BiLSTM and other 6 models.[Results]The results showed that when a few parameters were fed into BP,RNN,LSTM,improved BiLSTM and CNN-BiLSTM models to predict wa-ter demand,the prediction effect of BP neural network was poor.In the model evaluation,CNN-BiLSTM showed an R2 improvement of about 14％over LSTM and a MSE reduction of about 3.8.[Conclusion]CNN-BiLSTM model is more accurate in predicting wheat water demand.
万方数据
维普
