Robotic Milking Data Analysis

Overview

This project involves the analysis of massive datasets generated by robotic milking systems. The goal is to understand the complex relationships between milk production, environmental factors, and cow-specific events.

Architecture & Tools

• Large Scale Pipelines: Design of robust data management pipelines capable of handling high-velocity data streams.
• Cloud Architectures: Utilization of cloud computing resources for storage and processing.
• Multivariate Analysis: Correlating data points such as:
  • Environmental variables (temperature, humidity)
  • Cow events (health logs, calving)
  • Genetic factors

Outcomes

Providing actionable insights on how external and genetic factors influence the applicability and utility of robotic milking datasets.