LEARN
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Exploring fine-scale behavior as a lever to improving fishing gears |
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Research
The species’ behaviour plays a key role in the capture process by fishing gear. Behaviours have been inferred by professional fishermen through their experience, but have hardly ever been validated by in situ observations and in real fishing conditions, due to the limitations with the use of artificial light and the staff-time required to process imaging data.
The aim of the LEARN project is to provide a new and finer perspective on the understanding of the behaviour of species in interaction with fishing gear and selective devices thanks to recent technological advances in imaging and signal processing. Experiments will be carried out in controlled environment to determine the influence of the use of visible (400-700 nm) and infrared (>800 nm) light and to study behavioural responses to stimuli transferable to fishing technologies in order to improve gear selectivity. They will be supplemented by sampling in situ and in real fishing conditions to assess the efficiency of bio-based baits as a sustainable bait alternative.
The second part will aim at determining the capacity of artificial intelligence (deep learning) to automatically extract ethological information from imaging data.
Finally, the behaviour and interactions between species and fishing gear will be analysed on a larger scale by reusing the database of imagery collected by the laboratory.
People involved
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FAILLETTAZ Robin, Chercheur(e) Phone : 0297873812 Email : robin.faillettaz@ifremer.fr |
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KOPP Dorothée, Phone : 0297873831 Email : dorothee.kopp@ifremer.fr |
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LE BOURDONNEC Pierre, CDI Phone : 0297873814 Email : pierre.le.bourdonnec@ifremer.fr |
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MARTIGNAC François, Scientist Phone : +33 2 23 48 56 25 Email : francois.martignac@inrae.fr |
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SIMON Julien, Phone : 0297873810 Email : julien.simon@ifremer.fr |
Funding and Support
Financements DS Ifremer (thèse Alexa Abangan), DECOD (stage master Annaik van Gerven), FEAMPA Game of Trawls S2 (2022-2023)