Aquaculture Europe 2023

September 18 - 21, 2023


Add To Calendar 21/09/2023 15:00:0021/09/2023 15:15:00Europe/ViennaAquaculture Europe 2023EXPLORING INFORMATION ENTROPY BASED APPROACH FOR PROCESSING AND ANALYSIS OF FISH TELEMETRY DATA TO ASSESS WELFAREClub & BrasserieThe European Aquaculture Societywebmaster@aquaeas.orgfalseDD/MM/YYYYaaVZHLXMfzTRLzDrHmAi181982


J. Urban


Laboratory of Signal and Image Processing , Institute of Complex Systems, Faculty of Fisheries and Protection of Waters , University of South Bohemia in Ceské Budejovice, Zá mek  136,  Nove Hrady, 37333 (Czech republic).

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Analyzing telemetry data and translating it into meaningful indicators of fish welfare remains a challenge , as it is necessary to distinguish between typical and atypical behavior .

Entropy approaches can be used to analyze telemetry data and detect changes in fish behavior , providing valuable insights into fish welfare . Telemetry is an important tool for studying fish behavior and allows for the real-time monitoring of fish movements . However , analyzing telemetry data and translating it into meaningful indicators of fish welfare is a challenge . Entropy-based methods , which use information theory to quantify the complexity and unpredictability of animal behavior , provide a  more comprehensive understanding of the animal state .

 By analyzing data  probability density function with entropy approaches , it is possible to identify atypical behavior that may indicate compromised welfare . These methods can detect irregularities in fish behavior and provide insight into the animal’s state.

Results and Discusion

Typical behavior is not a single type of distribution , but rather a set of distributions . Entropy analysis is an effective method for identifying atypical behavior in fish welfare assessment , as it provides a more robust  evaluation of telemetry datasets than classical statistical analysis . Entropy analysis allows for continuous monitoring of behavior and can identify when fish start behaving atypically . It can also determine which fish and which values are atypical or typical . By analyzing the variability of feeding behavior , social interactions , and behavior in response to different environmental conditions or stressors , entropy analysis can provide insights into the complexity and variability of fish behavior and promote more effective management practices . Entropy approaches can help to improve telemetry data analysis and provide objective indicators of fish welfare for management and regulatory purposes.


The study received funding from the European Union’ s Horizon 2020 research and innovation programme under grant agreement N° 871108 (AQUAEXCEL3.0). This output reflects only the author’s view and the European Union cannot be held responsible for any use that may be made of the information contained therein.


Barta , A., Soucek , P., Bozhynov , V., Urbanova, P., Bekkozhayeova , D.: Trends  in online biomonitoring. In: Bioinformatics and Biomedical Engineering: 6th International Work-Conference , IWBBIO 2018, Granada, Spain, 2018, Proceedings , Part I 6, Springer (2018) 3/14

Føre , M., Svendsen , E., Alfredsen , J.A. , Uglem , I., Bloecher , N., Sveier, H., Sunde,  L.M., Frank, K.: Using acoustic telemetry to monitor the e_ects of crowding and delousing procedures on farmed atlantic salmon (salmo salar ). Aquaculture 495 (2018) 757-765

Urban, J.: Information entropy. Applications from Engineering with MATLAB

Concepts (2016) 43