Design and Verification of Fuzzy Neural Network Automatic Control Algorithm in Intelligent Agriculture

Abstract

Through the analysis and in-depth study of the fuzzy control system model and neural network, the optimal control strategy is obtained by the organic combination of fuzzy reasoning and neural network analysis training, and the automatic control algorithm based on fuzzy neural network is designed. The modified algorithm is applied and verified in Modern Agriculture Demonstration Park of Chengdu Agricultural College. The results show that the designed algorithm can meet the demand of automatic control in the field of intelligent agricultural control, and the control system has good universality and scalability. The application of automatic control algorithm based on fuzzy neural network can accelerate the development of agricultural modernization in China, and lay a solid foundation for the further research on the application of automatic control in other fields.