Advancing marine biodiversity monitoring with AI, imaging, and citizen science. Collaborating across 7 countries to protect oceans and ecosystems. #FAIRData #MarineScience
https://bioboostplus.eu/
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The key message: AI can make benthic monitoring faster and more scalable, but expert knowledge remains essential.
Research: Igor Granado, Xabier Lekunberri, Inma Martin, Natalia Montero, Joxe M. Garmendia
Coordination: Jose A. Fernandes-Salvador, Ibon Galparsoro
@azti.bsky.social l
Through the BioBoost+ project, both historical and newly collected samples are being digitised and analysed using AI-assisted approaches—combining computer vision and machine learning to accelerate data availability and support more responsive, adaptive management of marine ecosystems.
Can AI help us monitor life on the seafloor?
In this BioBoost+ case study, the AZTI team tested computer vision to detect and count benthic taxa from ROV videos in the south-eastern Bay of Biscay.
#BioBoostPlus #AZTI @azti.bsky.social
The surveys covered the Basque continental shelf, using 42 ROV transects, ~20 hours of video, depths from 74–670 m, and HD/4K underwater imagery.
The workflow focused on 13 ecologically relevant benthic taxa.
#MarineBiodiversity
These new samples extend a remarkable long-term monitoring time series that began in 1983.
#Biodiversity #OceanScience #Zooplankton #Arctic #FieldScience #ArtificiaIntelligence
Credits: L. Ribas-Deulofeu, M. Krogstad
Two deep-learning models were tested: YOLOv8x and Faster R-CNN.
Organisms were then tracked across video frames so each individual was counted only once per transect.
#ComputerVision #ROV
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NORD activity – Zooplankton sampling in Sub-Arctic Fjord (Mistfjorden). Earlier in the year there were perfect conditions for Dr. Ribas-Deulofeu @ribas-deulofeu.bsky.social to sample zooplankton in the sub-Arctic fjord Mistfjord (Norway).
#MarineEcology #Bioboostplus #Biodiversa
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Great work from our BioBoost+ partners @azti.bsky.social
This case study is a great example of where marine monitoring is heading: combining underwater imagery, AI tools, and expert ecological knowledge to make biodiversity assessments faster and more scalable.
#MarineEcology
