Technology maturity: Prototype
This technology had been systematically demonstrated in private white shrimp farms, has completed the feasibility verification, therefore it is ready to be transferred for commercial use; and is now seeking to cooperate with equipment vendors to develop cost-effective underwater cameras suitable for the breeding environment.
The artificial intelligence underwater monitoring system integrates the networked underwater cameras, water quality sensors, and automatic/controllable equipment deployed in the farming ponds into the central console. The collected underwater images and data are first calculated by smart edge computing device, then uploaded to the cloud for AI analysis, and finally integrated together with breeding information such as AI feed identification, AI feeding, AI biometrics (size, individual, activity), underwater images enhancement, alarms, and remote control of equipment into the cloud control platform. All these operations are target to help farmers accurately grasp the dynamics within the pond, gradually establish a huge database and behavior observations, optimize the system operational models, and transform the successful breeding strategy and the big database into a sustainable, sophisticated, inheritable and professional breeding system. It then can serve farmers as the best assisting tool for decision-making of breeding management.