Characterizing Sounds of Different Sources in a Commercial Broiler House

Audio data collected in commercial broiler houses are mixed sounds of different sources that contain useful information regarding bird health condition, bird behavior, and equipment operation. However, characterizations of the sounds of different sources in commercial broiler houses have not been we...

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Main Authors: Xiao Yang, Yang Zhao, Hairong Qi, George T. Tabler
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Animals
Subjects:
Online Access:https://www.mdpi.com/2076-2615/11/3/916
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spelling doaj-1a913ce210ea4985823ab3cea141d3d92021-03-24T00:05:58ZengMDPI AGAnimals2076-26152021-03-011191691610.3390/ani11030916Characterizing Sounds of Different Sources in a Commercial Broiler HouseXiao Yang0Yang Zhao1Hairong Qi2George T. Tabler3Department of Animal Science, The University of Tennessee, Knoxville, TN 37996, USADepartment of Animal Science, The University of Tennessee, Knoxville, TN 37996, USADepartment of Electrical and Computer Engineering, The University of Tennessee, Knoxville, TN 37996, USADepartment of Poultry Science, Mississippi State University, Mississippi State, MS 39762, USAAudio data collected in commercial broiler houses are mixed sounds of different sources that contain useful information regarding bird health condition, bird behavior, and equipment operation. However, characterizations of the sounds of different sources in commercial broiler houses have not been well established. The objective of this study was, therefore, to determine the frequency ranges of six common sounds, including bird vocalization, fan, feed system, heater, wing flapping, and dustbathing, at bird ages of week 1 to 8 in a commercial Ross 708 broiler house. In addition, the frequencies of flapping (in wing flapping events, flaps/s) and scratching (during dustbathing, scratches/s) behaviors were examined through sound analysis. A microphone was installed in the middle of broiler house at the height of 40 cm above the back of birds to record audio data at a sampling frequency of 44,100 Hz. A top-view camera was installed to continuously monitor bird activities. Total of 85 min audio data were manually labeled and fed to MATLAB for analysis. The audio data were decomposed using Maximum Overlap Discrete Wavelet Transform (MODWT). Decompositions of the six concerned sound sources were then transformed with the Fast Fourier Transform (FFT) method to generate the single-sided amplitude spectrums. By fitting the amplitude spectrum of each sound source into a Gaussian regression model, its frequency range was determined as the span of the three standard deviations (99% CI) away from the mean. The behavioral frequencies were determined by examining the spectrograms of wing flapping and dustbathing sounds. They were calculated by dividing the number of movements by the time duration of complete behavioral events. The frequency ranges of bird vocalization changed from 2481 ± 191–4409 ± 136 Hz to 1058 ± 123–2501 ± 88 Hz as birds grew. For the sound of fan, the frequency range increased from 129 ± 36–1141 ± 50 Hz to 454 ± 86–1449 ± 75 Hz over the flock. The sound frequencies of feed system, heater, wing flapping and dustbathing varied from 0 Hz to over 18,000 Hz. The behavioral frequencies of wing flapping were continuously decreased from week 3 (17 ± 4 flaps/s) to week 8 (10 ± 1 flaps/s). For dustbathing, the behavioral frequencies decreased from 16 ± 2 scratches/s in week 3 to 11 ± 1 scratches/s in week 6. In conclusion, characterizing sounds of different sound sources in commercial broiler houses provides useful information for further advanced acoustic analysis that may assist farm management in continuous monitoring of animal health and behavior. It should be noted that this study was conducted with one flock in a commercial house. The generalization of the results remains to be explored.https://www.mdpi.com/2076-2615/11/3/916poultryacousticaudiofrequencybehavior
collection DOAJ
language English
format Article
sources DOAJ
author Xiao Yang
Yang Zhao
Hairong Qi
George T. Tabler
spellingShingle Xiao Yang
Yang Zhao
Hairong Qi
George T. Tabler
Characterizing Sounds of Different Sources in a Commercial Broiler House
Animals
poultry
acoustic
audio
frequency
behavior
author_facet Xiao Yang
Yang Zhao
Hairong Qi
George T. Tabler
author_sort Xiao Yang
title Characterizing Sounds of Different Sources in a Commercial Broiler House
title_short Characterizing Sounds of Different Sources in a Commercial Broiler House
title_full Characterizing Sounds of Different Sources in a Commercial Broiler House
title_fullStr Characterizing Sounds of Different Sources in a Commercial Broiler House
title_full_unstemmed Characterizing Sounds of Different Sources in a Commercial Broiler House
title_sort characterizing sounds of different sources in a commercial broiler house
publisher MDPI AG
series Animals
issn 2076-2615
publishDate 2021-03-01
description Audio data collected in commercial broiler houses are mixed sounds of different sources that contain useful information regarding bird health condition, bird behavior, and equipment operation. However, characterizations of the sounds of different sources in commercial broiler houses have not been well established. The objective of this study was, therefore, to determine the frequency ranges of six common sounds, including bird vocalization, fan, feed system, heater, wing flapping, and dustbathing, at bird ages of week 1 to 8 in a commercial Ross 708 broiler house. In addition, the frequencies of flapping (in wing flapping events, flaps/s) and scratching (during dustbathing, scratches/s) behaviors were examined through sound analysis. A microphone was installed in the middle of broiler house at the height of 40 cm above the back of birds to record audio data at a sampling frequency of 44,100 Hz. A top-view camera was installed to continuously monitor bird activities. Total of 85 min audio data were manually labeled and fed to MATLAB for analysis. The audio data were decomposed using Maximum Overlap Discrete Wavelet Transform (MODWT). Decompositions of the six concerned sound sources were then transformed with the Fast Fourier Transform (FFT) method to generate the single-sided amplitude spectrums. By fitting the amplitude spectrum of each sound source into a Gaussian regression model, its frequency range was determined as the span of the three standard deviations (99% CI) away from the mean. The behavioral frequencies were determined by examining the spectrograms of wing flapping and dustbathing sounds. They were calculated by dividing the number of movements by the time duration of complete behavioral events. The frequency ranges of bird vocalization changed from 2481 ± 191–4409 ± 136 Hz to 1058 ± 123–2501 ± 88 Hz as birds grew. For the sound of fan, the frequency range increased from 129 ± 36–1141 ± 50 Hz to 454 ± 86–1449 ± 75 Hz over the flock. The sound frequencies of feed system, heater, wing flapping and dustbathing varied from 0 Hz to over 18,000 Hz. The behavioral frequencies of wing flapping were continuously decreased from week 3 (17 ± 4 flaps/s) to week 8 (10 ± 1 flaps/s). For dustbathing, the behavioral frequencies decreased from 16 ± 2 scratches/s in week 3 to 11 ± 1 scratches/s in week 6. In conclusion, characterizing sounds of different sound sources in commercial broiler houses provides useful information for further advanced acoustic analysis that may assist farm management in continuous monitoring of animal health and behavior. It should be noted that this study was conducted with one flock in a commercial house. The generalization of the results remains to be explored.
topic poultry
acoustic
audio
frequency
behavior
url https://www.mdpi.com/2076-2615/11/3/916
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