Fisheries Infosite

AEBR 263 Automated detection of large brown macroalgae using machine learning algorithms—a case study from Island Bay, Wellington

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AEBR-263-Automated-Detection-Of-Large-Brown-Algae-4162.pdf

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AEBR-263-Automated-Detection-Of-Large-Brown-Algae-4162.pdf (3.4 MB)

Abstract
A machine learning algorithm was developed to analyse underwater videos and to detect the presence of macroalgae. Three habitat-forming algae Ecklonia radiata, Lessonia variegate, and Carpophyllum spp. were successfully identified. The machine learning models can be readily applied to ongoing monitoring programmes to rapidly determine and map the distributions of key macroalgal indicator species along coastlines. Monitoring data are critical to documenting changes in our coastal communities.

Document date
Friday, 2 July 2021
Document type
V 1.3
File format
Adobe PDF
File size
3.4 MB
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AEBR-263-Automated-Detection-Of-Large-Brown-Algae-4162.pdf

Uploaded date
Friday, 2 July 2021

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AEBR: 263;
ISBN: 978-1-99-100935-7;
ISSN: 1179-6480;
AUTHOR: D'Archino, R.; Schimel, A.C.G.; Peat, C.; Anderson, T.;

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