Relationship among degree on crop disease stress, acoustic emission and environmental factors was theoretically analyzed in the paper. Precision spraying system based on acoustic emission for crop disease stress was designed, whose inputs included transpiration rate, environment temperature,humidity,illumination,CO2 density and acoustic emission. Self-learning fuzzy control system for precision spraying to field was built in in order to strengthen the capability of self-learning to the environment. It was shown that the system could effectively adjust to delivery volume, control valve speed under signals in acoustic emission and environmental information for the crop growth to some extent, realize intelligent control for crop spraying, accordingly, reduce pesticide usage amount.
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