Application of Fuzzy Neural Networks for Intelligent Irrigation of Wheat

In recent years, as China's agricultural economy has grown faster and faster, the irrigation efficiency of our farmland has not been improved. To improve irrigation efficiency, the use of a combination of neural networks and fuzzy control to optimize intelligent irrigation was one of the effective solutions to this problem. Using the main factors of Penman-Monteith formula as the input of the neural network, the current plant water demand can be output. Then, using the plant water demand and the current rate of change of soil moisture as inputs to the fuzzy controller, the time required for automatic irrigation can be calculated, and intelligent irrigation can be realized without human intervention. Simulink software was used to build the intelligent irrigation control system, and the final simulation results show that the system can accurately calculate the irrigation water consumption and irrigation time, and make the soil moisture finally maintain to a suitable value.