Digital Twins for Refrigerated Trucks Reduce Fruit Spoilage

Swiss researchers develop digital twins to optimize refrigerated truck routes and reduce food waste.

Researchers at the Swiss Federal Institute of Technology (ETH Zurich) have developed digital twins for refrigerated trucks to optimize routes and reduce food waste.

The digital twins use real-time data from sensors and weather forecasts to predict the optimal route for each truck, taking into account factors such as temperature, humidity, and traffic.

The goal is to reduce the energy consumption and emissions of refrigerated trucks while also minimizing the risk of food spoilage.