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Erschienen in:
Agent Based Modeling of Fish Shoal Behavior Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

Entropy Approach of Processing for Fish Acoustic Telemetry Data to Detect Atypical Behavior During Welfare Evaluation

verfasst von : Jan Urban

Erschienen in: Bioinformatics and Biomedical Engineering

Verlag: Springer Nature Switzerland

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Abstract

Fish telemetry is an important tool for studying fish behavior, allowing to monitor fish movements in real-time. Analyzing telemetry data and translating it into meaningful indicators of fish welfare remains a challenge. This is where entropy approaches can provide valuable insights. Methods based on information theory can quantify the complexity and unpredictability of animal behavior distribution, providing a comprehensive understanding of the animal state. Entropy-based techniques can analyze telemetry data and detect changes in fish behavior, or irregularity. By analyzing the accelerometer data, using entropy approach, it is possible to identify atypical behavior that may be indicative of compromised welfare

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Vorheriges Kapitel Agent Based Modeling of Fish Shoal Behavior
Nächstes Kapitel Determining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods
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Metadaten
Titel
Entropy Approach of Processing for Fish Acoustic Telemetry Data to Detect Atypical Behavior During Welfare Evaluation
verfasst von
Jan Urban
Copyright-Jahr
2023
Buch
Bioinformatics and Biomedical Engineering

Print ISBN: 978-3-031-34959-1

Electronic ISBN: 978-3-031-34960-7

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-3-031-34960-7_2

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