基于加速度计传感器的项圈用于监测放牧奶牛采食和反刍行为的验证
Validation of an Accelerometer Sensor-Based Collar for Monitoring Grazing and Rumination Behaviours in Grazing Dairy Cows.
作者信息
Iqbal Muhammad Wasim, Draganova Ina, Morel Patrick C H, Morris Stephen T
机构信息
School of Agriculture and Environment, College of Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand.
出版信息
Animals (Basel). 2021 Sep 17;11(9):2724. doi: 10.3390/ani11092724.
This study evaluated the accuracy of a sensor-based device (AfiCollar) to automatically monitor and record grazing and rumination behaviours of grazing dairy cows on a real-time basis. Multiparous spring-calved dairy cows ( = 48) wearing the AfiCollar were selected for the visual observation of their grazing and rumination behaviours. The total observation period was 36 days, divided into four recording periods performed at different times of the year, using 12 cows in each period. Each recording period consisted of nine daily observation sessions (three days a week for three consecutive weeks). A continuous behaviour monitoring protocol was followed to visually observe four cows at a time for each daily observation session, from 9:00 a.m. to 5:00 p.m. Overall, 144 observations were collected and the data were presented as behaviour activity per daily observation session. The behaviours visually observed were also recorded through an automated AfiCollar device on a real-time basis over the observation period. Automatic recordings and visual observations were compared with each other using Pearson's correlation coefficient (r), Concordance correlation coefficient (CCC), and linear regression. Compared to visual observation (VO), AfiCollar (AC) showed slightly higher (10%) grazing time and lower (4%) rumination time. AC results and VO results had strong associations with each other for grazing time (r = 0.91, CCC = 0.71) and rumination time (r = 0.89, CCC = 0.80). Regression analysis showed a significant linear relationship between AC and VO for grazing time (R = 0.83, < 0.05) and rumination time (R = 0.78, < 0.05). The relative prediction error (RPE) values for grazing time and rumination time were 0.17 and 0.40, respectively. Overall, the results indicated that AfiCollar is a reliable device to accurately monitor and record grazing and rumination behaviours of grazing dairy cows, although, some minor improvements can be made in algorithm calibrations to further improve its accuracy.
本研究评估了一种基于传感器的设备（AfiCollar）实时自动监测和记录放牧奶牛采食及反刍行为的准确性。选择佩戴AfiCollar的经产春季产犊奶牛（n = 48）进行采食和反刍行为的视觉观察。总观察期为36天，分为一年中不同时间进行的四个记录期，每个记录期使用12头奶牛。每个记录期包括九个每日观察时段（连续三周每周三天）。遵循连续行为监测方案，在每个每日观察时段，从上午9:00至下午5:00，每次对四头奶牛进行视觉观察。总体而言，共收集了144次观察数据，并将数据表示为每个每日观察时段的行为活动。在观察期内，通过自动化的AfiCollar设备也实时记录了视觉观察到的行为。使用Pearson相关系数（r）、一致性相关系数（CCC）和线性回归对自动记录和视觉观察结果进行相互比较。与视觉观察（VO）相比，AfiCollar（AC）显示采食时间略高（10%），反刍时间略低（4%）。AC结果和VO结果在采食时间（r = 0.91，CCC = 0.71）和反刍时间（r = 0.89，CCC = 0.80）方面彼此具有很强的相关性。回归分析表明，AC和VO在采食时间（R = 0.83，P < 0.05）和反刍时间（R = 0.78，P < 0.05）方面存在显著的线性关系。采食时间和反刍时间的相对预测误差（RPE）值分别为0.17和0.40。总体而言，结果表明AfiCollar是一种可靠的设备，能够准确监测和记录放牧奶牛的采食及反刍行为，不过，在算法校准方面可以进行一些小的改进，以进一步提高其准确性。
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