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As one of the key technologies of artificial intelligence, image recognition has been widely used in various industries. The development of digital and intelligent water conservancy cannot be separated from the application of artificial intelligence image recognition technology. This paper firstly summarized the development and recognition process of image recognition technology, introduced the traditional image recognition technology, including statistical method, syntactic recognition method and geometric transformation method, and the image recognition technology with neural network algorithm, including depth confidence network, convolution neural network, cyclic neural network and graph convolution neural network and compared the advantages and disadvantages of the above image recognition technologies. This paper summarized the application of artificial intelligence image recognition in water conservancy industry from the four aspects of river velocity measurement, remote sensing water body recognition, water level monitoring and three-dimensional prediction. Finally, It was proposed that improving the adaptability, compatibility and recognition accuracy of technical scenarios would be the development direction of artificial intelligence image recognition in the water conservancy industry. [ABSTRACT FROM AUTHOR]