Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation

arXiv:2308.09238v2 Announce Type: replace
Abstract: The aquaculture sector in New Zealand is experiencing rapid expansion, with a particular emphasis on mussel exports. As the demands of mussel farming operations continue to evolve, the integration of artificial intelligence and computer vision techniques, such as intelligent object detection, is emerging as an effective approach to enhance operational efficiency. This study delves into advancing buoy detection by leveraging deep learning methodologies for intelligent mussel farm monitoring and management. The primary objective centers on …

abstract aquaculture artificial artificial intelligence arxiv automation computer computer vision cs.ai cs.cv detection expansion exports farming integration intelligence intelligent new zealand operations sector transfer transfer learning type vision