Hansen M F, Smith M L, Smith L N, Abdul Jabbar K, Forbes D
Centre for Machine Vision, BRL, UWE, Bristol, UK.
Kingshay Farming & Conservation Ltd, Glastonbury, Somerset, UK.
Comput Ind. 2018 Jun;98:14-22. doi: 10.1016/j.compind.2018.02.011.
Here we propose a low-cost automated system for the unobtrusive and continuous welfare monitoring of dairy cattle on the farm. We argue that effective and regular monitoring of multiple condition traits is not currently practicable and go on to propose 3D imaging technology able to acquire differing forms of related animal condition data (body condition, lameness and weight), concurrently using a single device. Results obtained under farm conditions in continuous operation are shown to be comparable or better than manual scoring of the herd. We also consider inherent limitations of using scoring and argue that sensitivity to relative change over successive observations offers greater benefit than the use of what may be considered abstract and arbitrary scoring systems.
在此,我们提出一种低成本自动化系统,用于在农场中对奶牛进行不引人注意的连续福利监测。我们认为,目前对多种状况特征进行有效且定期的监测并不切实可行,进而提出一种3D成像技术,该技术能够使用单一设备同时获取不同形式的相关动物状况数据(身体状况、跛足和体重)。在农场持续运行条件下获得的结果表明,其与对牛群进行人工评分的结果相当或更优。我们还考虑了使用评分的固有局限性,并认为相较于使用可能被视为抽象且随意的评分系统,对连续观察中的相对变化的敏感性能带来更大益处。