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A intelligent monitor and control system on multi-factor of aquaculture environment based on wireless sensor networks is designed adopting BP neural networks. The system uses wireless sensor nodes to detect a variety of water quality parameters transmitted to the on-site monitoring host computer through sink node wirelessly. The control module consists of fuzzy controller and decoupling neural network without the need of environmental model identification. Remote monitoring and control computer using GPRS wireless communication technology allows remote data collection and monitoring of aquaculture to achieve intelligent control and information sharing.