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Methods for Detecting Cough and Airway Inflammation in Mice
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Novel Method for Detecting Coughing Pigs with Audio-Visual Multimodality for Smart Agriculture Monitoring.

Heechan Chae1, Junhee Lee1, Jonggwan Kim1

  • 1Info Valley Korea Co., Ltd., Anyang 14067, Republic of Korea.

Sensors (Basel, Switzerland)
|November 27, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an advanced audio-visual system for early detection of pig respiratory diseases by identifying coughing. The system enhances farm management and animal welfare through continuous monitoring and accurate identification of affected pigs.

Keywords:
agriculture ITaudio-visual datapig cough detectionsmart agriculture monitoring

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Area of Science:

  • Animal Science
  • Agricultural Engineering
  • Veterinary Medicine

Background:

  • Pig farming is economically significant, but respiratory diseases cause substantial losses.
  • Early detection of pig respiratory diseases is crucial for effective management and animal welfare.

Purpose of the Study:

  • To develop an advanced audio-visual monitoring system for early detection of coughing in pigs.
  • To enhance disease management and improve animal welfare in the pig industry.

Main Methods:

  • A multimodal approach integrating three modules: cough sound detection (CSD), pig object detection (POD), and coughing pig detection (CPD).
  • Continuous 24/7 audio and video stream analysis to identify coughing sounds and pinpoint individual pigs or pens.
  • Utilizing advanced algorithms for accurate detection amidst background noise.

Main Results:

  • The system achieved a detection accuracy of 0.95 on practical data.
  • Successfully identified coughing sounds and located the source pigs or pens.
  • Demonstrated feasibility and applicability for real-world farm conditions.

Conclusions:

  • The proposed audio-visual system offers a viable solution for early detection of respiratory diseases in pigs.
  • Continuous monitoring can lead to timely interventions, reducing economic losses and improving animal welfare.
  • The system has the potential to significantly enhance farm management practices and reduce labor stress.