Abstract
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/.
Funder
Foundation for the National Institutes of Health
National Institute of Food and Agriculture
Publisher
Public Library of Science (PLoS)
Reference44 articles.
1. Dairy farmers with larger herd sizes adopt more precision dairy technologies;JI Gargiulo;Journal of Dairy Science,2018
2. ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1;G Morota;Journal of Animal Science,2021
3. USDA ERS—Milk Production Continues Shifting to Large-Scale Farms. [cited 3 Oct 2022]. Available: https://web.archive.org/web/20150323151533/ http://www.ers.usda.gov/amber-waves/2014-december/milk-production-continues-shifting-to-large-scale-farms.aspx#.VRHBM2MR-JF
4. VAS. DairyComp. Available: https://vas.com/dairycomp/