WELL-CALF: optimising accuracy for commercial adoption

WELL-CALF：优化商业采用的准确性

• 批准号: 10093543
• 金额: $ 19.68万
• 依托单位: CAMBRIDGE ANIMAL TECHNOLOGIES LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10093543
• 关键词: WELL; CALF; optimising; accuracy; commercial

Calves from dairy herds are the foundation animals for dairy farms and the dairy-beef industry, but several diseases are endemic. Bovine respiratory disease (BRD) affects 11% of all calves and is the leading cause of poor performance (and mortality) in cattle <10 months of age, costing UK farmers ~£80Mp.a.(veterinary treatments, reduced lifetime productivity, mortality;Zoetis,2022). Thermal stress impacts the immune status and leaves calves more susceptible to illness(Vet Sci,2020).Integrating health and production data across a calf's life represents a significant challenge to the industry, thus management decisions are currently made without any prior knowledge of a farm or animal's disease or production status. CATL's automated monitoring solutions for health surveillance improves results but further potential for optimisation exists.The initial aims of the WELL-CALF project were to (i) develop and implement a data platform integrating health and production parameters across animal lifetime, (ii) to develop an innovative agri-engineering system for calf-rearer units integrating a novel multi-sensor platform with performance data to monitor calf health status, and (iii) to utilise advanced data analytics to classify health conditions in individuals, to facilitate rapid, individually-tailored treatment.For this project, we aim to extend and improve on the WELL-CALF project by refining prediction models for bovine respiratory disease, using advanced machine learning techniques.

奶牛群中的犊牛是奶牛场和奶牛产业的基础动物，但牛呼吸道疾病 (BRD) 影响着 11% 的犊牛，是牛生产性能不佳（和死亡）的主要原因。 < 10 个月大，英国农民每年花费约 80 英镑（兽医治疗、终生生产力降低、死亡率；Zoetis，2022）。更容易患病（Vet Sci，2020）。整合犊牛一生的健康和生产数据对行业来说是一项重大挑战，因此目前管理决策是在事先不了解农场或动物疾病或宁德时代自动化生产状态的情况下做出的。健康监测的监测解决方案可改善结果，但存在进一步优化的潜力。WELL-CALF 项目的最初目标是 (i) 开发和实施一个数据平台，整合动物一生中的健康和生产参数，(ii) 开发用于犊牛饲养单位的创新农业工程系统，将新颖的多传感器平台与性能数据相结合，以监测犊牛健康状况，以及（iii）利用先进的数据分析对个体的健康状况进行分类，以促进快速、个性化的定制对于这个项目，我们的目标是利用先进的机器学习技术，通过完善牛呼吸道疾病的预测模型来扩展和改进 WELL-CALF 项目。