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表征商业肉鸡舍中不同声源的声音

Characterizing Sounds of Different Sources in a Commercial Broiler House.

作者信息

Yang Xiao, Zhao Yang, Qi Hairong, Tabler George T

机构信息

Department of Animal Science, The University of Tennessee, Knoxville, TN 37996, USA.

Department of Electrical and Computer Engineering, The University of Tennessee, Knoxville, TN 37996, USA.

出版信息

Animals (Basel). 2021 Mar 23;11(3):916. doi: 10.3390/ani11030916.

Abstract

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.

摘要

在商业肉鸡舍中收集的音频数据是不同来源的混合声音,其中包含有关鸡只健康状况、鸡只行为和设备运行的有用信息。然而,商业肉鸡舍中不同来源声音的特征尚未得到很好的确立。因此,本研究的目的是确定在商业罗斯708肉鸡舍中,1至8周龄鸡只发出的六种常见声音的频率范围,这六种声音包括鸡只发声、风扇声、喂料系统声、加热器声、扑翼声和沙浴声。此外,通过声音分析检查了扑翼行为(在扑翼事件中,每秒扑翼次数)和抓挠行为(在沙浴期间,每秒抓挠次数)的频率。在鸡背上方40厘米高度的肉鸡舍中间安装了一个麦克风,以44100赫兹的采样频率记录音频数据。安装了一个顶视摄像头以持续监测鸡只活动。总共85分钟的音频数据被人工标记并输入到MATLAB中进行分析。音频数据使用最大重叠离散小波变换(MODWT)进行分解。然后,对六个相关声源的分解结果采用快速傅里叶变换(FFT)方法进行变换,以生成单边幅度谱。通过将每个声源的幅度谱拟合到高斯回归模型中,将其频率范围确定为偏离均值的三个标准差(99%置信区间)的跨度。行为频率通过检查扑翼声和沙浴声的频谱图来确定。它们通过将动作次数除以完整行为事件的持续时间来计算。随着鸡只的生长,鸡只发声的频率范围从2481±191 - 4409±136赫兹变为1058±123 - 2501±88赫兹。对于风扇声,整个鸡群的频率范围从129±36 - 1141±50赫兹增加到454±86 - 1449±75赫兹。喂料系统声、加热器声、扑翼声和沙浴声的声音频率在0赫兹到超过18000赫兹之间变化。扑翼行为的频率从第3周(17±4次/秒)持续下降到第8周(10±1次/秒)。对于沙浴行为,行为频率从第3周的16±2次/秒下降到第6周的11±1次/秒。总之,表征商业肉鸡舍中不同声源的声音为进一步的高级声学分析提供了有用信息,这可能有助于养殖场管理对动物健康和行为进行持续监测。需要注意的是,本研究是在一个商业鸡舍中的一群鸡上进行的。结果的普遍性仍有待探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d618/8004747/323955028c89/animals-11-00916-g001.jpg

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