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Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design.
- Source :
- Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p11050, 27p
- Publication Year :
- 2024
-
Abstract
- Featured Application: This compact IoT datalogger enables real-time monitoring of environmental conditions, helping reduce spoilage and extend shelf life in perishable goods supply chains. It offers a low-cost, portable solution for optimizing storage and transport conditions. Perishable product losses can occur throughout postharvest handling. Proper monitoring of key environmental conditions during this period is essential for predicting quality losses throughout their shelf life. This paper presents the design and testing of a portable and compact datalogger for the real-time monitoring of environmental conditions throughout the food supply chain. The device developed incorporates high-precision sensors to measure temperature, relative humidity, CO<subscript>2</subscript> concentration, luminosity and vibrations, as well as wireless communication capabilities for data transmission, simplifying real-time monitoring over existing multi-component systems while keeping costs affordable. Strategies to optimize power consumption allow a month of battery life, being able to cover entire periods of transport and storage, according to the results of the autonomy test performed on the device. The datalogger uses NB-IoT and relies on other wireless communication protocols if not available to send sensor data to a cloud platform. Comparative testing with commercial dataloggers has been carried out to verify correct device measurements, and field testing has validated successful real-time data transmission along an entire refrigerated transport route. The functionality and autonomy of the proposed device meet the needs of live remote monitoring to help reduce food losses. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 14
- Issue :
- 23
- Database :
- Complementary Index
- Journal :
- Applied Sciences (2076-3417)
- Publication Type :
- Academic Journal
- Accession number :
- 181655356
- Full Text :
- https://doi.org/10.3390/app142311050