IA-2026-0139
Optimization of Machine Learning modelling strategy for coastal zooplankton taxonomic identification from flow microscopy imaging.
Pilot Ecosystems and Oceans Science
Description of the initiative
As part of Aquaculture Monitoring Program we are using Ecotaxa's ML algorithm to identify zooplankton. The project aims at identifying the best strategy in building model training sets for each region monitored. This strategy will be the basis for future AMP zooplankton identification work.
Strategic alignment
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Contacts
- Subject matter expert
- Winegardner, Amanda
Lifecycle
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Ideation
Stage status : Completed
August 28, 2026 August 28, 2026
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Assessment
Stage status : Not applicable
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Approved
Stage status : Not applicable
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Development
Stage status : Not applicable
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Pilot
Stage status : In progress
August 28, 2026
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Production
Stage status : Upcoming
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Archived
Stage status : Upcoming
Schedule for this initiative
- Completed
- In progress
- Planned
- Not applicable
- Today
Change log (12 entries)
Public history of this initiative's key events. The team's internal exchanges are not shown.
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