DETECT: A Non-Invasive and Automated Real-Time Disease Detection Tool for Cattle

拟议项目的重点是开发一种 ** 自动化 ** 数据驱动的 ** 创新 **，用于 ** 非侵入性 ** 和 ** 实时 ** 监测奶牛养殖小牛的呼吸道疾病。牛呼吸道疾病（BRD）是牛肉和奶制品农民面临的最严重问题，仅英国一个部门每年就损失约8000万英镑。（硕腾公司2022）通过死亡率、兽医成本、感染时劳动力增加和动物生产力降低，以及在以后的生活中。**DETECT** 的 ** 目标 ** 是利用最先进的技术，与商业上相关的低成本传感器一起，检测健康牛和被诊断患有呼吸道感染的牛呼吸中的挥发性代谢物。该系统的设计将考虑到灵活性--它将能够集成到任何小牛舍/设备中，以提供 ** 自适应 **、** 自动化 ** 和 ** 实时 ** 的单个动物水平的疾病监测。** 检测 ** 的 ** 关键要素 **：1.基于对个体小牛呼吸的被动测量，开发自动化疾病检测系统。2.识别健康小牛和BRD诊断小牛呼吸的差异，使用这些发现来优化低成本的自动化实时传感器系统3.应用高级数据分析来区分呼吸和牛棚背景，并开发疾病检测模型。4.证明该工具在一系列农场管理和饲养系统中诊断BRD（亚）临床病例的能力。5.开发用户-通过与最终用户共同设计平台并了解机遇和挑战，建立一个友好的决策支持平台，以帮助早期健康和管理决策。该项目将开发第一个专门为小牛设计的被动呼吸监测系统，用于早期检测BRD。这将有助于早期干预和优化个体动物的治疗。减少疾病对幼龄犊牛的影响将提高生产效率，减少温室气体（GHG）排放/千克产品（通过减少与死亡率和表现不佳相关的损失）。优化的疾病管理提供了一致的社会效益（改善福利，优化抗菌剂的使用），并将支持英国牛肉和乳制品行业的恢复力。

The proposed project focusses on developing an **AUTOMATED** data-driven **INNOVATION** for **NON-INVASIVE** and **REAL-TIME** monitoring of respiratory disease in dairy-bred calves. Bovine respiratory disease (BRD) is the most serious issue facing beef and dairy farmers, costing the UK sector alone around £80M per annum (Zoetis 2022) through mortality, veterinary costs, increased labour and reduced animal productivity at the point of infection, but also in later life.The **AMBITION** of **DETECT** is to utilise state-of-the-art technology, alongside commercially relevant lower-cost sensors, to characterise the volatile metabolites found on the breath of healthy cattle, and of those diagnosed with respiratory infection. The system will be designed with flexibility in mind -- in that it will be able to integrate into any calf shed/equipment to provide **ADAPTABLE**, **AUTOMATED** and **REAL-TIME** monitoring of disease at the individual animal level.The **KEY OBJECTIVES** of **DETECT**:1.Develop an automated disease-detection system, based on passive measurement of breath from individual calves.2.Identify differences in the breath of healthy and BRD-diagnosed calves, using these findings to optimise a low-cost automated real-time sensor system.3.Apply advanced data analytics to distinguish between breath and cattle shed background, and to develop models for disease detection.4.Demonstrate the ability of the tool to diagnose (sub-) clinical instances of BRD across a range of farm management and feeding systems.5.Develop a user-friendly decision-support platform to aid early health and management decisions by co-designing the platform with end-users and understanding opportunities and challenges.The project will develop the first passive breath monitoring system designed specifically for calves for the early detection of BRD. This will facilitate early intervention and optimise treatment of individual animals. Reducing the impact of disease in younger calves will improve production efficiency and reduce greenhouse gas (GHG) emissions/kg product (through reduced losses associated with mortality and poor performance). Optimised disease management offers aligned societal benefits (improved welfare, optimised antimicrobial use) and will support increased resilience of the UK's beef and dairy sectors.