Prediction Of Greenhouse Muskmelon Evapotranspiration

Study the evaportranspiration of muskmelon in different growth period under different environment in sunshine greenhouse to establish muskmelon evaportranspiration model.By adopting meteorological evaportranspiration data and the data from 2008 and 2010 with the crop of muskmelon at horticulture Station of NWSUAF, two predicted model for muskmelon evapotranspiration was developed. Based on BP neural network and multi-factor,the models performance wastested with average temperature,average air humidity,total radiation,soil moisture,and total leaf area and observed evaportranspiration,and test the model.(1)Total leaf area, soil moisture content, average temperature, average humidity, accumulation of illumination were the main factors effecting evaportranspiration.(2)Take total leaf area as biological factors to build muskmelon vaportranspiration model is reasonable.(3)Muskmelon vaportranspiration model based on BP neural network works better than multi-factors model in modeling and predicting the evaportranspiration of muskmelon in different muskmelon growth periods.(4)Muskmelon stretch period multiple factors evaportranspiration model: ET=4.3315*LA+0.172*We+0.1297*Ln (Rn)-0.0003*RH2+0.0382*RH+0.0032*T2-0.129*T-0.5439Flowering period multi-factor model:ET=0.9676*We+0.0933*Ln(LA)+0.0022*Rn+0.1885Ln(RH)-0.0003*T2 +0.0471*T2-0.1252Fruit growing period multiple factors evaportranspiration model:ET=0.0017*RH2-0.1527*RH+0.003*Ln(LA)-0.0001Rn2+0.0231*Rn +0.3219*We-0.0003*T2+0.00357*eT-0.0471...