Forecast Model for Water Requirement of Eggplant in Greenhouse based on GA-BP ANN

摘要

The forecast model for water requirement of eggplant in greenhouse based on GA-BP ANN with maximum and minimum temperature, relative humidity and global radiation, temperature in ten cm depth under ground regarded as the input and observed water requirement in plastic tent as output is established according to the long-term meteorological data in E-Zhou Water-saving Irrigation Experiment Station, Hubei Province, China. The application shows that the forecasting is in good agreement with the observation data with day to day average absolute error 0.53 mm/d and ten-day average standard error 0.2141 mm, and the efficacy index is about 94.24 %.