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Measuring Farm Animal Emotions-Sensor-Based Approaches.

Suresh Neethirajan1, Inonge Reimert1, Bas Kemp1

  • 1Adaptation Physiology Group, Department of Animal Sciences, Wageningen University & Research, 6700 AH Wageningen, The Netherlands.

Sensors (Basel, Switzerland)
|January 20, 2021
PubMed
Summary

Accurately measuring farm animal emotions requires advanced technology. This study reviews sensor-based methods and proposes sensor fusion for comprehensive emotion recognition, crucial for improving animal welfare.

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Area of Science:

  • Agricultural Technology
  • Animal Welfare Science
  • Biometric Data Analysis

Background:

  • Current methods lack scientific benchmarks for quantifying farm animal emotions.
  • Technological advancements are driving interest in sensor-based approaches for animal emotion monitoring.
  • Understanding animal emotions is vital for enhancing animal welfare.

Purpose of the Study:

  • To review sensor-based approaches for monitoring farm animal emotions.
  • To explore technological systems, including sensors, algorithms, and analysis techniques.
  • To propose novel methods for accurate, compound emotion recognition in farm animals.

Main Methods:

  • Review of existing literature on animal emotion and sensor technology.
  • Analysis of technological systems for processing biometric data (facial, sound).
Keywords:
animal emotionsanimal welfareanimal-based measuresbehaviorfarm animalsprecision livestock farmingsensors

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  • Exploration of sensor fusion techniques for combined emotion measurement.
  • Main Results:

    • Existing systems often rely on single-measurements (e.g., facial features, physiological functions) which are insufficient.
    • A single measurement cannot accurately reflect the complex emotional changes in farm animals.
    • Compound expression recognition measurement is necessary for accurate assessment.

    Conclusions:

    • Sensor-based approaches offer promising avenues for monitoring farm animal emotions.
    • Sensor fusion is proposed as a novel method to combine technologies for efficient emotion monitoring.
    • Future research should address challenges and opportunities in developing comprehensive animal emotion monitoring systems.