A real-time monitoring tool to automatically measure the feed intakes of multiple broiler chickens by sound analysis

Aydin, Arda; Bahr, Claudia; Berckmans, D.

doi:10.1016/j.compag.2015.03.010

Cited by 47 publications

(22 citation statements)

References 12 publications

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“…Considering the relationship between pecking behaviour and eating, 90% of the feed intake of one broiler was correctly detected with pecking sounds in an experimental pen (Aydin et al, 2014). In another study, 86% of the feed intake of 10 broilers was detected accurately (Aydin et al, 2015). Subsequently, short-term feeding behaviours of 10 broilers by pecking sound analysis were estimated in real time, and the accuracy of meal size reached 90%, meal duration reached 95%, the numbers of meals per day reached 84% and feeding rate reached 89% (Aydin and Berckmans, 2016).…”

Section: Growth Rate Detectionmentioning

confidence: 87%

Review: Automated techniques for monitoring the behaviour and welfare of broilers and laying hens: towards the goal of precision livestock farming

Ren

et al. 2020

Animal

130

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There is increasing public concern about poultry welfare; the quality of animal welfare is closely related to the quality of livestock products and the health of consumers. Good animal welfare promotes the healthy growth of poultry, which can reduce the disease rate and improve the production quality and capacity. As behaviour responses are an important expression of welfare, the study of behaviour is a simple and non-invasive method to assess animal welfare. The use of modern technology offers the possibility to monitor the behaviour of broilers and laying hens in a continuous and automated way. This paper reviews the latest technologies used for monitoring the behaviour of broilers and laying hens under both experimental conditions and commercial applications and discusses the potential of developing a precision livestock farming (PLF) system. The techniques that are presented and discussed include sound analysis, which can be an online tool to automatically monitor poultry behaviour non-invasively at the group level; wireless, wearable sensors with radio-frequency identification devices, which can automatically identify individual chickens, track the location and movement of individuals in real time and quantify some behavioural traits accordingly and image processing technology, which can be considered a direct tool for measuring behaviours, especially activity behaviours and disease early warning. All of these technologies can monitor and analyse poultry behaviour, at the group level or individual level, on commercial farms. However, the popularity and adoption of these technologies has been hampered by the logistics of applying them to thousands and tens of thousands of birds on commercial farms. This review discusses the advantages and disadvantages of these techniques in commercial applications and presents evidence that they provide potential tools to automatically monitor the behaviours of broilers and laying hens on commercial farms. However, there still has a long way to go to develop a PLF system to detect and predict abnormal situations.

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Section: Growth Rate Detectionmentioning

confidence: 87%

Review: Automated techniques for monitoring the behaviour and welfare of broilers and laying hens: towards the goal of precision livestock farming

Ren

et al. 2020

Animal

130

View full text Add to dashboard Cite

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“…However, the frequency of laying hens’ vocalisations during feeding time has not been reported. The researchers therefore propose the development of a real-time sound processing technology to accurately and continuously detect the feeding behaviours of broiler chickens, including feeding rate (g/min), feed intake (g) and meal duration (min) [ 12 , 13 , 14 ]. Certainly, SSL technology can be combined to assess animal health and welfare by automatically and continuously monitoring their feeding behaviour.…”

Section: Discussionmentioning

confidence: 99%

“…Others suggest that vocalisations could serve as indicators of poultry welfare [ 9 , 10 , 11 ]. Sound analysis systems can be used to predict feed intake by monitoring pecking sounds [ 12 , 13 , 14 ]. Sound source localisation systems can be used to detect pig respiratory disease [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry

Lao

Teng

2018

Sensors

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Due to the increasing scale of farms, it is increasingly difficult for farmers to monitor their animals in an automated way. Because of this problem, we focused on a sound technique to monitor laying hens. Sound analysis has become an important tool for studying the behaviour, health and welfare of animals in recent years. A surveillance system using microphone arrays of Kinects was developed for automatically monitoring birds’ abnormal vocalisations during the night. Based on the principle of time-difference of arrival (TDOA) of sound source localisation (SSL) method, Kinect sensor direction estimations were very accurate. The system had an accuracy of 74.7% in laboratory tests and 73.6% in small poultry group tests for different area sound recognition. Additionally, flocks produced an average of 40 sounds per bird during feeding time in small group tests. It was found that, on average, each normal chicken produced more than 53 sounds during the daytime (noon to 6:00 p.m.) and less than one sound at night (11:00 p.m.–3:00 a.m.). This system can be used to detect anomalous poultry status at night by monitoring the number of vocalisations and area distributions, which provides a practical and feasible method for the study of animal behaviour and welfare.

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“…The selection of these equations was based on the highest values of the correlation coefficient and R 2 , as MITCHELL (1997), SILVA et al (2008aSILVA et al ( , 2008b, ATA (2015) and SEVEGNANI et al (2016). These models showed a positive correlation coefficient, which according to AYDIN et al (2015) it means that the studied variables are mutually dependents to each other and tend to increase or decrease simultaneously.…”

Section: And López-fidalgo and Rivas-lopez (2007)mentioning

confidence: 99%

Prediction of mean surface temperature of broiler chicks and load microclimate during transport

Nazareno¹,

Silva²,

Fernandes³

2016

Eng. Agríc.

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This study aimed to determine a model to predict mean surface temperature of broiler chicks and live load microclimate conditions during transport by using neural networks. The research was conducted in the state of São Paulo, Brazil, by monitoring nine shipments with different density of boxes using an air-conditioned truck with an average capacity of 380 boxes. Fourteen chick boxes were chosen on each shipment, assessing five chicks per box. The mean surface temperature of chicks (MST) was measured with an infrared thermometer in both loading and unloading. By assessing the container microclimate (center and inside boxes), air temperature (T), relative humidity (RH) and specific enthalpy (h) were recorded; thereby, seventeen data loggers were placed, one per box (14), and three along the container. MST and truck microclimate were analyzed using artificial neural networks with a single layer and seven neurons, which were trained with the least mean square (LMS) algorithm. MST in the unloading showed a better prediction of MST during transport. The best prediction of microclimatic conditions was obtained inside the boxes during the shipment.

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A real-time monitoring tool to automatically measure the feed intakes of multiple broiler chickens by sound analysis

Cited by 47 publications

References 12 publications

Review: Automated techniques for monitoring the behaviour and welfare of broilers and laying hens: towards the goal of precision livestock farming

Review: Automated techniques for monitoring the behaviour and welfare of broilers and laying hens: towards the goal of precision livestock farming

A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry

Prediction of mean surface temperature of broiler chicks and load microclimate during transport

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