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

DETECT：一种针对牛的非侵入性自动化实时疾病检测工具

• 批准号: 10072590
• 金额: $ 86.96万
• 依托单位: ROBOSCIENTIFIC LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10072590
• 关键词: DETECT; Non; Invasive; Automated; Real

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.

拟议项目的重点是开发**自动化**数据驱动的**创新**，以**非侵入性**和**实时**监测奶牛呼吸道疾病（。 BRD）是牛肉和奶农面临的最严重问题，由于死亡率、兽医成本、劳动力增加和动物生产力下降，仅英国行业每年就损失约 8000 万英镑（Zoetis 2022） **DETECT** 的 **雄心** 是利用最先进的技术以及商业相关的低成本传感器来表征发现的挥发性代谢物该系统的设计将考虑到健康牛和被诊断患有呼吸道感染的牛的呼吸——集成到任何牛棚/设备中，以提供**适应性**、**。自动化** 和**实时**监测个体动物水平的疾病。**DETECT**的**关键目标**：1.开发基于个体犊牛呼吸的被动测量的自动疾病检测系统。 2. 识别健康犊牛和 BRD 诊断犊牛的呼吸差异，利用这些发现来优化低成本自动化实时传感器系统。 3. 应用先进的数据分析来区分呼吸和牛棚背景，以及开发疾病检测模型。4.展示该工具在一系列农场管理和饲养系统中诊断 BRD（亚）临床实例的能力。5.开发用户友好的决策支持平台以帮助早期健康通过与最终用户共同设计平台并了解机遇和挑战来制定管理决策。该项目将开发第一个专为犊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治疗。减少动物的影响。预防年轻犊牛的疾病将提高生产效率并减少每公斤产品的温室气体 (GHG) 排放（通过减少与死亡率和性能不佳相关的损失）。优化的疾病管理可带来一致的社会效益（改善福利、优化抗菌药物的使用），并将支持增加。英国牛肉和乳制品行业的弹性。