Monitoring refrigerated shipping units (reefer containers) increasingly combines sensor data with predictive algorithms: temperature, humidity, and location sensors continuously capture conditions, while machine-learning models identify anomalies or forecast critical states before they occur, based on historical patterns.
Source: https://www.ibm.com/blockchain/industries/supply-chain
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