Abstract: A passive integrated transponder (PIT)-based fish school trajectory monitoring method and system for a marine ranch are provided. The method includes: using a PIT reader to obtain PIT tag information of each fish of a target fish school during a monitoring period; generating a three-dimensional (3D) fish school trajectory map of the target fish school; generating a motion sequence of each fish, inputting the motion sequence of each fish into a motion trajectory correction model, and outputting a corrected motion sequence of each fish; generating a first corrected 3D fish school trajectory map of the target fish school during the monitoring period, and generating a second corrected 3D fish school trajectory map; and generating motion information of the target fish school, and feeding back the second corrected 3D fish school trajectory map and the motion information of the target fish school to monitoring personnel.

Abstract: A neural network-based water quality monitoring device for a marine ranch includes a floating board and a host computer monitor. The host computer monitor is disposed on a top of the floating board, and the host computer monitor is provided with a water quality monitoring system, and the water quality monitoring system is configured to collect water quality parameters of the marine ranch and analyze collected water quality parameters. The environmental monitoring unit is configured to use a hyperspectral water quality multiparameter monitor to monitor continuous spectral segments within a target wavelength range in water body in the marine ranch to monitor in real time data including a concentration of dissolved substances in the water, growth of algae, water pollution, water color, and presence of solid floating objects on water surface. The device can apply multiple water quality tests to improve the effectiveness and accuracy of water quality monitoring.