Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems

no code implementations • 11 Feb 2021 • Mustafa Abdallah, Wo Jae Lee, Nithin Raghunathan, Charilaos Mousoulis, John W. Sutherland, Saurabh Bagchi

While there is a rich literature on anomaly detection in many IoT-based systems, there is no existing work that documents the use of ML models for anomaly detection in digital agriculture and in smart manufacturing systems.

Anomaly Detection Time Series Analysis +1