The Prediction Model for Soil Water Evaporation Based on BP Neural Network

Soil water is the basic condition of crop living. Soil water evaporation is not only main foundation of the management for water but also have an important effect on the regulation for temperature, humidity, environment and energy consumption in the greenhouse. Soil water even affect crop yields, qualities, and economy benefit of crop production. This paper analyzed main environment factors caused affecting soil water evaporation in greenhouse according to characteristic of microclimate in north China. BP neural network model were established based on mutual Influence between the environment factors and soil water evaporation. The verification of the model was made by measured soil water evaporation. This result showed the made model had better forecasting effects and the way that the made model could forecast soil water evaporation changes with neural network. The model provided a theoretical basis for the north of China´s control of the modern greenhouse environment, fertilizer irrigation management and automatic irrigation.