Acoustic monitoring system to quantify ingestive behavior of free-grazing cattle

Clapham, William M.; Fedders, James M.; Beeman, Kim; Neel, J. P. S.

doi:10.1016/j.compag.2011.01.009

Cited by 60 publications

(34 citation statements)

References 13 publications

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“…The recognition patterns were defined in frequency domain and used to identify and classify likely eating and rumination events. Without previous calibration, recognition results were similar to previous analytical procedures used by Clapham et al (2011) and Navon et al (2013). However, likely limitations of the methodology were associated with the spectral similarities between rumination and eating signals, presence of non-stationary background noise, and high computational cost associated with the analysis of signals sampled at high frequency.…”

Section: Introductionsupporting

confidence: 68%

“…In addition to showing a lower complexity, the CBRTA algorithm had proven capability of processing grazing signals 50 times faster than real-time. Others authors such as Clapham et al (2011) have reached up to 10 times faster than real-time but for algorithms calibrated for detection of bites alone, excluding therefore two other critical jaw events in grazing animals, exclusive chews and compound chew-bites. Thus, fast processing by CBRTA is a promising result to develop embedded microcomputer applications that depend on real-time analysis.…”

Section: Discussionmentioning

confidence: 98%

“…In an independent development Clapham et al (2011) adapted the use of SIGNAL software (Engineering Design, Berkeley, CA) for analysis of grazing sounds in cattle. The software was operated on a careful calibration to detect bites in the band of 17-22 kHz, and on a high-pass filter with cutoff frequency at 600 Hz to attenuate background noise.…”

Section: Introductionmentioning

confidence: 99%

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A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle

Chelotti

Vanrell

Milone

et al. 2016

Computers and Electronics in Agriculture

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a b s t r a c tAssessment of both grazing behavior and herbage intake are two very difficult tasks that can be concurrently accomplished by means of accurate detection, classification and measurement of grazing events such as chews, bites and chew-bites. It is well known that acoustic monitoring is among the best methods to automatically quantify and classify ingestive and rumination events in grazing animals. However, most existing methods of signal analysis appear to be computationally complex and costly, and are therefore difficult to implement. In this work, we present and test a novel analysis system called Chew-Bite Real-Time Algorithm (CBRTA) that works fully automatically in real-time to detect and classify ingestive events of grazing cattle. The system employs a directional wide-frequency microphone facing inwards on the forehead of animals, and a coupled signal analysis and decision logic algorithm that measures shape, amplitude, duration and energy of sound signals to iteratively detect and classify ingestive events. Performance and validation of the CBRTA was determined using two databases of grazing signals. Signals were recorded on dairy cows offered either, natural pasture (N ¼ 25), or experimental micro-swards in indoor controlled environment (N ¼ 50). The CBRTA exhibited a simple linear complexity capable to execute 50 times faster than real-time and without undermining overall recognition rate and accuracy when signals were processed at 4 kHz sampling frequency and 8 bits quantization. Furthermore, CBRTA was capable to detect ingestive events with a 97.4% success rate, while achieving up to 84.0% success for their classification as exclusive chews, bites or composite chew-bites. The methodology proposed with CBRTA has promising application in embedded microcomputer systems that necessarily depend on fast real-time execution to minimize computational load, power source and storage memory. Such a system can readily facilitate the transmission of processed data through wireless network or the storage in an onboard device.

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Section: Introductionsupporting

confidence: 68%

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle

Chelotti

Vanrell

Milone

et al. 2016

Computers and Electronics in Agriculture

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“…Successful implementation of such devices includes monitoring cattle-foraging behavior (Clapham et al 2011), characterizing activity budgets of wildlife (Lynch et al 2013), investigation of species communication (Payne et al 2003), or identifying the presence of marine mammals (Klinck et al 2012). Real-time directional tracking of sounds is also possible (Bergamo et al 2004) and gunshot detection (e.g., ''ShotSpotter,'' available online)…”

Section: Acoustic Datamentioning

confidence: 99%

Novel opportunities for wildlife conservation and research with real‐time monitoring

Wall

Wittemyer

Klinkenberg

et al. 2014

Ecological Applications

106

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Abstract. The expansion of global communication networks and advances in animaltracking technology make possible the real-time telemetry of positional data as recorded by animal-attached tracking units. When combined with continuous, algorithm-based analytical capability, unique opportunities emerge for applied ecological monitoring and wildlife conservation. We present here four broad approaches for algorithmic wildlife monitoring in real time-proximity, geofencing, movement rate, and immobility-designed to examine aspects of wildlife spatial activity and behavior not possible with conventional tracking systems. Application of these four routines to the real-time monitoring of 94 African elephants was made. We also provide details of our cloud-based monitoring system including infrastructure, data collection, and customized software for continuous tracking data analysis. We also highlight future directions of real-time collection and analysis of biological, physiological, and environmental information from wildlife to encourage further development of needed algorithms and monitoring technology. Real-time processing of remotely collected, animal biospatial data promises to open novel directions in ecological research, applied species monitoring, conservation programs, and public outreach and education.

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“…Estudos anteriores incluem observação comportamental, gravação mecânica do movimento ingestivo da mandíbula e gravação acústica do comportamento ingestivo (CLAPHAM et al, 2011).…”

Section: Monitoramento Acústicounclassified

Estudo sobre confinamentos de gado de corte no Estado de São Paulo, com ênfase na legislação ambiental e automação

Ferreira¹

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reduzida a fiscalização da atividade, que ocorre majoritariamente diante de acidentes ambientais ou denúncias, o que pode gerar um enfraquecimento da previsão legislativa. Studies indicate that the human population is expected to present a significant growth in the coming years and food production will present an increase of 70% (seventy percent) in order to ensure food security worldwide. Are expected changes in the consumption pattern, rising consumption of red meat. The production of beef cattle systems face the challenge of maintaining and increase production, dealing with scarcity of natural resources and pressures to decrease environmental impacts. In recent decades, Brazil has stood out on the world stage as a major producer of food and, consequently, as a global agricultural powerhouse, with growing export of surplus production. In Brazil, especially in São Paulo state, the increase in land prices and competition with other crops of higher profitability, have contributed to the adoption of more intensive systems in livestock. From the late 90s, the number of animals confined in Brazil grew rapidly, mainly due to the increase in exports of meat, increased agricultural production and good supply and price of animals capable of supplying feedlots. Palavras

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Acoustic monitoring system to quantify ingestive behavior of free-grazing cattle

Cited by 60 publications

References 13 publications

A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle

A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle

Novel opportunities for wildlife conservation and research with real‐time monitoring

Estudo sobre confinamentos de gado de corte no Estado de São Paulo, com ênfase na legislação ambiental e automação

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