Analysing the Foraging Behaviour of Bees Using Process Mining: A Case Study

In this paper, we present a novel case study for the application of process mining (PM) on data captured by Internet of Things (IoT) devices. In this case study, IoT sensors in robotic flowers are employed to gather a comprehensive dataset on bee colony behaviour through a series of experiments conducted under various conditions. The primary objective of this paper is to investigate the applicability of PM to analyse the collected sensor data, map bee colony behaviour, and uncover the learning patterns exhibited by the bees during these experiments. Encouraging results have emerged from this research, demonstrating the feasibility of converting the collected sensor data into event logs that can produce insights on bees foraging behaviour using a PM tool. This case study serves as a solid foundation for future research endeavours on the application of PM to similar processes that can be monitored using IoT devices.