In typical refrigerated container shipments, advanced software systems powered by IoT sensors and machine learning continuously analyze real-time temperature readings and air quality patterns to detect any deviation from preset thresholds or unusual trends.
Source: https://www.supplychainbrain.com/blogs/1-think-tank/post/68422-temperature-monitoring-anomaly-detection-for-reefers
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