Towards a Self-Adaptive, Real-Time Monitoring System for Food Quality Assessment

Adaptive software systems can assist in reducing food waste and improving food safety by enabling a real-time quality assessment. Such systems include sensors to monitor the food's condition and machine learning-based data analysis to predict the food's quality and shelf life. In particular, monitoring is challenging for several reasons, e.g., the complexity of the food supply chain and dynamically changing environments. Therefore, this work describes and discusses a self-adaptive monitoring system that locates food commodities and adjusts the monitoring activity accordingly to changes in the environment.