CowVid: Streamlining 3rd party remote monitoring of dairy farms to mitigate travel restrictions

该项目将开发和试点一个基于云的平台，使检查机构能够获得单个动物的自动身体状况评分和视频信息，从而无需前往农场进行更彻底的福利检查。由于封锁措施，农场检查无法实施，红拖拉机等认证机构已经实施了一些试点远程检查，这些检查不能提供与实地检查相同水平的动物福利信息。此外，封锁措施导致检查和培训新检查员的工作积压。这项技术将增强现有的虚拟检查协议，有助于减少检查员的旅行时间，从而有助于减少检查积压。将自动监测数据作为在线课程的一部分提供，增强了培训模块，并使大部分培训能够在线进行，从而减少了培训积压。保险公司报告说，由于更大程度的不确定性和缺乏最新信息，大流行给风险管理的数据收集带来了挑战。设想中的系统使保险公司能够访问详细的农场数据，从而更深入地了解乳制品行业的信息，帮助他们在这个前所未有的不确定时期管理风险。

This project will develop and pilot a cloud-based platform that gives inspection bodies access to automated body condition scoring and video information on individual animals, enabling a more thorough welfare inspection without the need for a farm visit. Because of lockdown measures, on-farm inspections can not be implemented and certification bodies such as Red Tractor have enacted some pilot remote inspections, which do not give the same level of animal welfare information as a physical inspection. In addition lockdown measures have caused a backlog of both inspections and training for new inspectors. This technology will augment existing virtual inspection protocols, help to reduce travel time for inspectors, thus helping to reduce the inspection backlog. Making the automated monitoring data available as part of online courses, enhances training modules and enables a greater part of the training to take place online, thus reducing the training backlog. Insurance companies report that the pandemic has created challenges in data gathering for risk management due to a greater degree of uncertainty and a lack of up-to-date information. The envisaged system gives insurance companies access to detailed farm data enabling a greater depth of information on the dairy industry that helps them manage risk during this period of unprecedented uncertainty.