Developing a real-time monitoring system based on the internet of things for beef cold chain

The supporting monitoring device inability to capture events during the transportation process resulted in difficulty dealing with abnormal conditions affecting meat spoilage in beef cold chain. Fraud occurring during delivery, such as arbitrarily modifying refrigerator setup and choosing improper routes, should be prevented to avoid customer’s losses. This paper has proposed a real-time monitoring system by utilizing the internet of things (IoT) technology for capturing container conditions during the transportation process. The result shows prototypes testing capable to monitor temperature, humidity, and track vehicle positions in real-time. By utilizing data analysis features in the cloud, the proposed IoT system is able to notify if temperature and humidity fluctuation lead to shelf life degradation that exceeds the specified limit. This result is potential as an aid in a meat distributor in handling cold chain monitoring.