Revolutionizing Aquaculture with Computer Vision

This chapter examines the integration of computer vision and machine learning technologies in fish farming, emphasizing the challenges of underwater image capture and weight estimation. It discusses innovations like fish facial recognition for individual tracking and real-time health monitoring, as well as the deployment of autonomous cameras in fish pens. By addressing practical obstacles and showcasing technological advancements, the chapter highlights the growing intersection of technology and aquaculture.