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Development of a wireless body-mounted sensor to monitor location and activity of laying hens in a non-cage housing system.

机译:开发了一种无线人体感应器,用于监视非笼养系统中蛋鸡的位置和活动。

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摘要

A novel wireless body-mounted sensor was developed to remotely monitor the location and activity of laying hens within non-cage housing systems. Legislation and social demand in the U.S. and Europe is pushing the poultry industry to transition primarily to non-cage housing systems. However, non-cage systems typically house hens in groups of tens of thousands, which makes it nearly impossible for caretakers to visually assess the health, welfare, or movement of all individual hens or to follow a particular hen over time. In the present study, laying hens were fitted with a lightweight (10 g) wireless body-mounted sensor to monitor their location in space relative to key resources and general level of physical activity. Sensor data were validated by correlating them to video-based observations of the sensor-wearing hen. In experiment 1, overall agreement of at least 84% was consistently obtained between data from the sensor system and video concerning the hen's proximity to specific resources including nestboxes, perches, water, and feeder. Presented data were collected from three 30 min observations from each of three laying hens. In experiment 2, the accelerometer data from a back-mounted sensor were correlated to video-based observations from two 30 min observation sessions from each of two laying hens in order to demonstrate the feasibility of automated activity classification using the developed sensor system.
机译:开发了一种新颖的无线人体感应器,以远程监视非笼式住房系统中蛋鸡的位置和活动。美国和欧洲的立法和社会需求正在推动家禽业主要向无笼住房体系过渡。但是,非笼式系统通常以成千上万的母鸡群饲养母鸡,这使得看护者几乎不可能目视评估所有母鸡的健康,福利或活动或随时间推移跟踪特定母鸡。在本研究中,蛋鸡配备了重量轻(10 g)的无线人体安装传感器,以监视它们在空间中相对于关键资源和体育活动的总体水平的位置。传感器数据通过将其与基于视频的雌鸽的观察结果相关联而得到验证。在实验1中,在传感器系统的数据和视频中,关于母鸡与特定资源(包括巢箱,栖息地,水和饲养者)的接近程度的视频之间的一致性始终达到至少84%。提出的数据是从三只蛋鸡的每只鸡的30分钟观察中收集的。在实验2中,将来自后置传感器的加速度计数据与来自两只蛋鸡的两次30分钟观察期的基于视频的观察结果相关联,以证明使用开发的传感器系统进行自动活动分类的可行性。

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