Saving power and labor using smart technology: AI shrimp farming system producing healthy shrimps
To overcome various challenges faced by the traditional aquaculture industry in Taiwan, Ing-Jer Huang, Yun-Nan Chang, and Shiann-Rong Kuang - professors of the Department of Computer Science and Engineering, and Chin-Chang Hung and Li-Lian Liu - professors of the Department of Oceanography, joined forces to form a cross-disciplinary research team. The research team applied artificial intelligence technology to shrimp farming and achieved spectacular results. Infrared underwater monitoring system, image enhancement and recognition technologies were developed to automatically identify the bait and the shrimp. The APPs on the server or smartphones perform automatic feeding. Using AI technology can greatly improve the traditional pattern of four fixed-quantity feedings per day. The smart system identifies residual bait every 30 minutes, and chooses the feeding efficiency. The system also prevents the residual bait from polluting the water and helps save on labor costs.