Tracking and Analysis of the Movement Behavior of European Seabass (Dicentrarchus labrax) in Aquaculture Systems
Monitoring and understanding fish behavior is crucial for achieving precision in everyday husbandry practices (i.e. for optimizing farm performance), and for improving fish welfare in aquaculture. Various intelligent monitoring and control methods, using mathematical models, acoustic methods and com...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-12-01
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| Series: | Frontiers in Animal Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fanim.2021.754520/full |
| _version_ | 1818337618271666176 |
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| author | Dimitra G. Georgopoulou Orestis Stavrakidis-Zachou Orestis Stavrakidis-Zachou Nikos Mitrizakis Nikos Papandroulakis |
| author_facet | Dimitra G. Georgopoulou Orestis Stavrakidis-Zachou Orestis Stavrakidis-Zachou Nikos Mitrizakis Nikos Papandroulakis |
| author_sort | Dimitra G. Georgopoulou |
| collection | DOAJ |
| description | Monitoring and understanding fish behavior is crucial for achieving precision in everyday husbandry practices (i.e. for optimizing farm performance), and for improving fish welfare in aquaculture. Various intelligent monitoring and control methods, using mathematical models, acoustic methods and computer vision, have been recently developed for this reason. Here, a tracking algorithm based on computer vision that extracts short trajectories of individual European seabass in both recirculating aquaculture systems and sea cages was developed using videos from network cameras. Using this methodology, parameters such as instantaneous normalized speed, travel direction and preference for the tank surface by European seabass could be quantified. When testing the sensitivity of this algorithm for detecting fish swimming variations under different husbandry scenarios, we found that the algorithm could detect variations in all of the abovementioned parameters and could potentially be a useful tool for monitoring the behavioral state of European seabass. |
| first_indexed | 2024-12-13T14:58:05Z |
| format | Article |
| id | doaj.art-00a2917eccb64ee985537ad449758b63 |
| institution | Directory Open Access Journal |
| issn | 2673-6225 |
| language | English |
| last_indexed | 2024-12-13T14:58:05Z |
| publishDate | 2021-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Animal Science |
| spelling | doaj.art-00a2917eccb64ee985537ad449758b632022-12-21T23:41:11ZengFrontiers Media S.A.Frontiers in Animal Science2673-62252021-12-01210.3389/fanim.2021.754520754520Tracking and Analysis of the Movement Behavior of European Seabass (Dicentrarchus labrax) in Aquaculture SystemsDimitra G. Georgopoulou0Orestis Stavrakidis-Zachou1Orestis Stavrakidis-Zachou2Nikos Mitrizakis3Nikos Papandroulakis4Hellenic Center for Marine Research, AquaLabs, Institute of Marine Biology, Biotechnology and Aquaculture, Heraklion, GreeceHellenic Center for Marine Research, AquaLabs, Institute of Marine Biology, Biotechnology and Aquaculture, Heraklion, GreeceDepartment of Biology, University of Crete, Heraklion, GreeceHellenic Center for Marine Research, AquaLabs, Institute of Marine Biology, Biotechnology and Aquaculture, Heraklion, GreeceHellenic Center for Marine Research, AquaLabs, Institute of Marine Biology, Biotechnology and Aquaculture, Heraklion, GreeceMonitoring and understanding fish behavior is crucial for achieving precision in everyday husbandry practices (i.e. for optimizing farm performance), and for improving fish welfare in aquaculture. Various intelligent monitoring and control methods, using mathematical models, acoustic methods and computer vision, have been recently developed for this reason. Here, a tracking algorithm based on computer vision that extracts short trajectories of individual European seabass in both recirculating aquaculture systems and sea cages was developed using videos from network cameras. Using this methodology, parameters such as instantaneous normalized speed, travel direction and preference for the tank surface by European seabass could be quantified. When testing the sensitivity of this algorithm for detecting fish swimming variations under different husbandry scenarios, we found that the algorithm could detect variations in all of the abovementioned parameters and could potentially be a useful tool for monitoring the behavioral state of European seabass.https://www.frontiersin.org/articles/10.3389/fanim.2021.754520/fullprecision farmingfish monitoring methodfish swimming variationscomputer visionfish behaviorwelfare |
| spellingShingle | Dimitra G. Georgopoulou Orestis Stavrakidis-Zachou Orestis Stavrakidis-Zachou Nikos Mitrizakis Nikos Papandroulakis Tracking and Analysis of the Movement Behavior of European Seabass (Dicentrarchus labrax) in Aquaculture Systems Frontiers in Animal Science precision farming fish monitoring method fish swimming variations computer vision fish behavior welfare |
| title | Tracking and Analysis of the Movement Behavior of European Seabass (Dicentrarchus labrax) in Aquaculture Systems |
| title_full | Tracking and Analysis of the Movement Behavior of European Seabass (Dicentrarchus labrax) in Aquaculture Systems |
| title_fullStr | Tracking and Analysis of the Movement Behavior of European Seabass (Dicentrarchus labrax) in Aquaculture Systems |
| title_full_unstemmed | Tracking and Analysis of the Movement Behavior of European Seabass (Dicentrarchus labrax) in Aquaculture Systems |
| title_short | Tracking and Analysis of the Movement Behavior of European Seabass (Dicentrarchus labrax) in Aquaculture Systems |
| title_sort | tracking and analysis of the movement behavior of european seabass dicentrarchus labrax in aquaculture systems |
| topic | precision farming fish monitoring method fish swimming variations computer vision fish behavior welfare |
| url | https://www.frontiersin.org/articles/10.3389/fanim.2021.754520/full |
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