Towards optimized usage of the milking robot using data analytics

PI: Mohammad Ashrafuzzaman

Ashrafuzzaman is an assistant professor of computer science and software engineering at UW–Platteville.

Ashrafuzzaman’s project will collect data generated by milking robots and create a curated dataset. This dataset will be used to perform machine learning based data analytics to uncover and better understand the correlations between impacting factors like animal behavior and robot performance and solve the optimization problem of robot utilization for various performance goals using model-based and interpretable machine learning. This project will implement a machine learning driven recommender system built as a software tool and used to optimize the usage of milking robots.

Ryan Pralle