DairyCoPilot-Automated data compilation and analysis tools for DairyComp data assets

Area of Science:

• Agricultural Science
• Data Science
• Animal Science

Background:

• Effective dairy farm management relies on analyzing extensive health and production data.
• Existing platforms like DairyComp often lack integrated, user-friendly data analysis capabilities.
• Informed decision-making is crucial for optimizing profitability, cow health, and welfare.

Purpose of the Study:

• To introduce DairyCoPilot, an application designed to enhance data analysis for dairy farm management.
• To provide producers and consultants with a tool to transform raw data into actionable insights.
• To facilitate the identification of farm management bottlenecks through efficient data analysis.

Main Methods:

• DairyCoPilot facilitates rapid extraction of health and production data from DairyComp.
• The application employs a menu-driven, point-and-click interface for data compilation and analysis.
• The DairyCoPilot Dashboard is developed as an R Shiny application and published via RStudio Connect.

Main Results:

• DairyCoPilot enables users to efficiently analyze DairyComp data without extensive statistical expertise.
• The tool supports the identification of key performance indicators and management issues.
• Reduced time spent on data analysis allows for more focus on improving herd health and production.

Conclusions:

• DairyCoPilot serves as a valuable asset for modern dairy farm management by simplifying data analysis.
• The application empowers consultants with applied data analysis skills to better serve producers.
• Implementing DairyCoPilot can lead to improved cow health outcomes and increased dairy production efficiency.