Adaptive software systems can reduce food waste and improve food safety. Such systems include smart 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 energy supply/demand and the reliability of the sensors. Therefore, this work sketches how the Multi-Level Observer/Controller architecture from Organic Computing might be applied for the adaptive monitoring of packaged foods.