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Chinese Agricultural Science Bulletin ›› 2013, Vol. 29 ›› Issue (32): 238-241.doi: 10.11924/j.issn.1000-6850.2013-1510

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BP Neural Network in Xuchang Soil Moisture Prediction Model

  

  • Received:2013-05-29 Revised:2013-07-24 Online:2013-11-15 Published:2013-11-15

Abstract: Scientific guidance for agricultural irrigation and drought relief, by using BP neural network method to study soil moisture Xuchang existing empirical analysis model, the establishment of soil moisture prediction model Xuchang years of combined soil moisture measured data and meteorological data error analysis. The results showed that, BP neural network model could be applied to better analyze and predicted soil moisture Xuchang, for different conditions of the region had better adaptability and application value.