Department of Medical Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI, United States of America.
PLoS One. 2024 Apr 18;19(4):e0297827. doi: 10.1371/journal.pone.0297827. eCollection 2024.
Modern dairy farm management requires meaningful data and careful analysis to maximize profitability, cow health, and welfare. Current data platforms, such as DairyComp, lack robust integrated data analysis tools. Producers and consultants need dedicated tools to turn collected data sets into assets for informed decision-making processes. The DairyCoPilot app allows users to rapidly extract health and production data from DairyComp, then compile and analyze the data using a menu-driven point-and-click approach. Prospects for training consultants in applied data analysis skills make DairyCoPilot a tool to identify farm management bottlenecks with less time spent for data analysis, improving cow health, and dairy production. The DairyCoPilot Dashboard R Shiny application is published using RStudio Connect: https://connect.doit.wisc.edu/dairy-copilot/.
现代奶牛场管理需要有意义的数据和仔细的分析，以实现利润最大化、奶牛健康和福利。目前的数据平台（如 DairyComp）缺乏强大的集成数据分析工具。生产者和顾问需要专用工具，将收集到的数据集转化为用于知情决策过程的资产。DairyCoPilot 应用程序允许用户从 DairyComp 中快速提取健康和生产数据，然后使用菜单驱动的点击式方法编译和分析数据。培训顾问应用数据分析技能的前景使 DairyCoPilot 成为一种工具，可以通过更少的数据分析时间来识别农场管理瓶颈，从而提高奶牛健康和牛奶产量。DairyCoPilot 仪表板 R Shiny 应用程序使用 RStudio Connect 发布：https://connect.doit.wisc.edu/dairy-copilot/。
