Normal view MARC view ISBD view

Feasibility of automating otolith ageing using CT scanning and machine learning / B.R. Moore, J. Maclaren, C. Peat, M. Anjomrouz, P.L. Horn, S. Hoyle.

By: Moore, B. R.
Contributor(s): McLaren, J | Peat, C | Anjomrouz, M | Horn, P. L. (Peter L.) | Hoyle, S | Fisheries New Zealand (Government agency) [issuing body.].
Material type: materialTypeLabelBookSeries: New Zealand fisheries assessment report: 2019/58Publisher: Wellington, New Zealand : Fisheries New Zealand, Tini a Tangaroa, 2019.Description: 1 online resource.ISBN: 9781990008665.Holdings: ELECTRONIC Online resources: FAR 2019/58 Fisheries Infosite | NIWA document server | National Digital Heritage Archive Open Access Summary: This study explored using CT scanning and machine learning to automate fish ageing. CT scanning resolved banding patterns on the surface of snapper, hoki and ling otoliths, but resolution and contrast were too low to detect outer bands in images through otolith cores. A convolutional neural network was used to estimate snapper and hoki ages from otolith images, and after limited training obtained promising consistency with human ageing. Further development of both techniques is recommended.
List(s) this item appears in: New Zealand Fisheries Assessment Report
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number Copy number Status Date due Barcode
PDF PDF WELLINGTON
ONLINE
ELECTRONIC 1 Not for loan 395720

"October 2019."

Archived by the National Library of New Zealand in PDF.

This study explored using CT scanning and machine learning to automate fish ageing. CT scanning resolved banding patterns on the surface of snapper, hoki and ling otoliths, but resolution and contrast were too low to detect outer bands in images through otolith cores. A convolutional neural network was used to estimate snapper and hoki ages from otolith images, and after limited training obtained promising consistency with human ageing. Further development of both techniques is recommended.

ELECTRONIC

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha