Back-propagation neural network model for soil moisture forecast of winter wheat field
Songhao Shang · Journal of Hydraulic Engineering · 2002
Based on the field soil moisture observation data for winter wheat in Yongledian Experimental Station,Beijing,during growing period,a back-propagation(BP) network model for soil moisture forecast is established.The model takes main factors influencing soil moisture regime into account.The network is trained by part of observation data before the application to forecast of soil moisture with different irrigation treatment in two years.The predicted soil moisture fairly well agrees with the observation data.