PROJECT NUMBER
•
2019-151
PROJECT STATUS:
COMPLETED
Application of a machine learning approach for effective stock management of farmed abalone
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...
ORGANISATION:
James Cook University (JCU)
SPECIES
