WELL-CALF: precision agricultural solution to improve health and productivity across the dairy-beef sector

“这个拟议项目的重点是开发一种精准农业技术解决方案，通过改善整个生命周期的健康和管理，优化乳制品-牛肉部门的生产效率。该产品将由以下组件组成：1\；一个数据收集系统，整合来自整个价值链的不同信息来源，使用新颖和先进的传感和农场记录，包含所需的环境和动物信息。一个数据分析平台，该平台将持续分析数据源，并提供适当的实时和自动化的健康和性能标志，以优化干预策略。优化健康和管理协议的决策支持系统。这将利用来自整个供应链的专家建议，包括兽医和动物科学专业知识。该项目将开发首个基于云的决策支持平台，以支持不同级别的决策。这将包括农场一级的决策（如卫生管理、营养），直至系统一级的政策和实践决策。该项目还将开发首个专门为小牛设计的精准农业综合监测系统，以便在饲养期间早期发现诸如冲刷和肺炎等重要疾病。这将允许在单个动物水平上进行早期干预并优化治疗和管理实践。总体目标是减少疾病的发病率和传播，减少抗生素的使用，提高生产力和优化效率。”

"This proposed project is focused on developing a precision agriculture technology solution for optimising the production efficiency of the dairy-beef sector, through improvements in health and management throughout life.The product will consist of the following components:1\. A data collection system integrating different sources of information from across the value chain using novel and advanced sensing and farm records containing the required environment and animal information.2\. A data analysis platform which will continuously analyse the data sources and provide the appropriate real-time and automated health and performance flags to optimise intervention strategies.3\. A decision support system to optimise health and management protocols. This will be developed using expert advice from across the supply chain, including veterinary and animal science expertise.The project will develop the first cloud-based decision support platform to support different levels of decision making. This will include farm-level decisions (e.g. health management, nutrition) through to policy and practice decisions at systems level. The project will also develop the first precision agriculture integrated monitoring system specifically designed for calves for the early detection of important diseases such as scour and pneumonia during the rearing period. This will allow for early intervention and optimise treatment and management practices at an individual animal level. The overall aim is to reduce disease incidence and spread, reduce antibiotic usage, improve productivity and optimise efficiency."