Tianjin University of Science and Technology /College of Information and Automation, Tianjin, China

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Abstract—Precision irrigation in fuzzy control system based on crop water stress acoustic monitoring was designed in the paper. Moreover, conventional double fuzzy control model was found to carry out two work mode, normal irrigation and precision irrigation, which aims to both ensure normal growth of crops and achieve effective water-saving. Since five input signals affect output in different degree, three layer BP neural network was employed to compute weight. Based on conventional fuzzy model, self learning fuzzy model for crop growth was built to tackle with normal irrigation and precision irrigation. In order to testify the control strategy, an experiment platform including virtual instruments was founded. It shows that the system can effectively adjust to water and control valve speed under signals in AE sensor and environmental information for the corp growth to some extent, and not only save water in the normal irrigation, but also realize safety and efficiency in precision irrigation.

Index Terms—Precision irrigation, self learning fuzzy control system, acoustic emission technology, water stress in crops

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Cite: Xiuqing Wang, Guodong You, Shifeng Yang, "Fuzzy Control Model Study on Precision Irrigation System for Water Stress in Crops," Journal of Computers vol. 6, no. 5, pp. 955-962, 2011.