Maize Response to Water with BP Neural Network Method Based on Limited Water
Ecological environment facing the great task,soil and water heavy loss,unbalanced annual rainfall and water supply and demand in semi-arid areas of the Loess plateau,harvested rainwater is very limited in terms of collecting and storing rainwater.Physiological-biochemical characteristic of water effect on crop yield is quite complex,and quantitative calculation is difficult.Applying strict mathematic at and physical equation is difficult.Professors brings forward many models for crop response to water,but these models have special trait of terrain tract and time domain and can not be used conveniently.There is obviously different model of crop response to water base on limit water which is according to ETmin/ETa defined relative evapotranspiration.Employing relative yield and evapotranspiration can offset effect of apart factor to model,so the paper takes relative yield and evapotranspiration as input and output sample of BP Neural Network,through compared training and analyzing many times,establishing model of maize response to water based on BP Neural Network,and comparing with Jensen model which is used always in China and gained atisfied result.
limited water BP neural network model of crop response to water
Li Xing Shi Haibin Cheng Manjin Ma Lanzhong Gou Mangmang
The College of Water Conservancy and Civil Engineering,Inner Mongolia Agriculture University,Inner M Institute of Water Conservancy Science Inner Mongolia Municipality,Huhhot,010020,China The College of Ecology and Environment,Inner Mongolia Agriculture University,Inner Mongolia Huhhot,0
国际会议
南京
英文
203-208
2006-08-16（万方平台首次上网日期，不代表论文的发表时间）