This report provides detail on the development of a machine learning tool as a method for counting and measuring abalone at various stages of production. The study was carried out on hybrid abalone with ~2000 images (nursery, weaner and growout stage) collected from Southern Ocean Mariculture and...

The development of a national fisheries and aquaculture data ingestion and storage system represents a step forward in the maturity of the management and utilisation of data for the sectors. The governance checklist project was designed to ensure that data derived from fisheries and...