Implementing artificial intelligence for the quantitative assessment of abalone in production systems (Old ID 26800)
Role
Principal Investigator
Description
This project will aim to develop, train, validate and implement an artificial intelligence model to identify and count abalone and measure quantitative abalone traits in production systems from an image. Currently, stock assessment is conducted manually, with large costs associated for the farms. This solution would reduce the cost of stock assessments and would greatly improve data quantity and quality using a “hands-off” approach. The model would also provide an advanced platform for further R & D improvements above and beyond basic assessments (e.g. growth monitoring in feeding trials).
Date
01 Apr 2020 - 07 Feb 2022
Project Type
GRANT
Keywords
Artificial Intelligence;Machine Learning;Aquaculture;Haliotis laevigata (Greenlip Abalone)
Funding Body
Australian Government Department of Agriculture, Water and the Environment
Amount
19480.91
Project Team
Jan Strugnell