Swimming behavior as a potential metric to detect satiation levels of European seabass in marine cages
Aquaculture is anticipated to contribute to two-thirds of the world’s fish consumption by 2030, emphasizing the need for innovative methods to optimize practices for economic viability, social responsibility, and environmental sustainability. Feeding practices play a pivotal role in aquaculture succ...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1350385/full |
| _version_ | 1797279272637825024 |
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| author | Dimitra G. Georgopoulou Charalabos Vouidaskis Nikos Papandroulakis |
| author_facet | Dimitra G. Georgopoulou Charalabos Vouidaskis Nikos Papandroulakis |
| author_sort | Dimitra G. Georgopoulou |
| collection | DOAJ |
| description | Aquaculture is anticipated to contribute to two-thirds of the world’s fish consumption by 2030, emphasizing the need for innovative methods to optimize practices for economic viability, social responsibility, and environmental sustainability. Feeding practices play a pivotal role in aquaculture success and the feeding requirements are dynamic, influenced by factors like fish size, environmental conditions, and health status necessitating ongoing improvements in feeding practices. This study addresses a critical gap in feeding control systems in sea cages. It introduces a continuous, real-time monitoring system for analyzing the feeding behavior of European seabass, employing advanced AI models (YOLO and DEEPSORT) and computer vision techniques. The investigation focuses on key parameters, including speed and the newly defined feeding behavior index (FBI), to evaluate swimming responses under varying feeding scenarios exploring meal frequency, feeding time, and feeding quantity. The findings reveal a sensitivity of fish speed and the feeding behavior index (FBI) to different feeding scenarios, elucidating distinct behavioral patterns in response to varying frequencies, times, and quantities of feeding, such as increased activity in the morning relative to later times and the emergence of asymmetric activity patterns when fish are underfed or overfed. Notably, this study is one of the few in the field, presenting the development of a continuous, real-time monitoring system for feeding control in sea cages. Simultaneously, it explores reference curves and threshold values to enhance the overall efficacy of feeding control measures. |
| first_indexed | 2024-03-07T16:22:53Z |
| format | Article |
| id | doaj.art-a3c68b47753f4064a192be05fa8a7576 |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-03-07T16:22:53Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-a3c68b47753f4064a192be05fa8a75762024-03-04T04:21:54ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452024-03-011110.3389/fmars.2024.13503851350385Swimming behavior as a potential metric to detect satiation levels of European seabass in marine cagesDimitra G. GeorgopoulouCharalabos VouidaskisNikos PapandroulakisAquaculture is anticipated to contribute to two-thirds of the world’s fish consumption by 2030, emphasizing the need for innovative methods to optimize practices for economic viability, social responsibility, and environmental sustainability. Feeding practices play a pivotal role in aquaculture success and the feeding requirements are dynamic, influenced by factors like fish size, environmental conditions, and health status necessitating ongoing improvements in feeding practices. This study addresses a critical gap in feeding control systems in sea cages. It introduces a continuous, real-time monitoring system for analyzing the feeding behavior of European seabass, employing advanced AI models (YOLO and DEEPSORT) and computer vision techniques. The investigation focuses on key parameters, including speed and the newly defined feeding behavior index (FBI), to evaluate swimming responses under varying feeding scenarios exploring meal frequency, feeding time, and feeding quantity. The findings reveal a sensitivity of fish speed and the feeding behavior index (FBI) to different feeding scenarios, elucidating distinct behavioral patterns in response to varying frequencies, times, and quantities of feeding, such as increased activity in the morning relative to later times and the emergence of asymmetric activity patterns when fish are underfed or overfed. Notably, this study is one of the few in the field, presenting the development of a continuous, real-time monitoring system for feeding control in sea cages. Simultaneously, it explores reference curves and threshold values to enhance the overall efficacy of feeding control measures.https://www.frontiersin.org/articles/10.3389/fmars.2024.1350385/fullprecision farmingaquaculturefeeding behavioranimal welfarestressorshunger levels |
| spellingShingle | Dimitra G. Georgopoulou Charalabos Vouidaskis Nikos Papandroulakis Swimming behavior as a potential metric to detect satiation levels of European seabass in marine cages Frontiers in Marine Science precision farming aquaculture feeding behavior animal welfare stressors hunger levels |
| title | Swimming behavior as a potential metric to detect satiation levels of European seabass in marine cages |
| title_full | Swimming behavior as a potential metric to detect satiation levels of European seabass in marine cages |
| title_fullStr | Swimming behavior as a potential metric to detect satiation levels of European seabass in marine cages |
| title_full_unstemmed | Swimming behavior as a potential metric to detect satiation levels of European seabass in marine cages |
| title_short | Swimming behavior as a potential metric to detect satiation levels of European seabass in marine cages |
| title_sort | swimming behavior as a potential metric to detect satiation levels of european seabass in marine cages |
| topic | precision farming aquaculture feeding behavior animal welfare stressors hunger levels |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2024.1350385/full |
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