Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design
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 re...
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MDPI AG
2024-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/23/11050 |
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| author | Javier Garrido-López Manuel Jiménez-Buendía Ana Toledo-Moreo Jaime Giménez-Gallego Roque Torres-Sánchez |
| author_facet | Javier Garrido-López Manuel Jiménez-Buendía Ana Toledo-Moreo Jaime Giménez-Gallego Roque Torres-Sánchez |
| author_sort | Javier Garrido-López |
| collection | DOAJ |
| description | 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<sub>2</sub> 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. |
| format | Article |
| id | doaj-art-ecf177bd7a3c4a62b1737bad2e36dac1 |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-ecf177bd7a3c4a62b1737bad2e36dac12025-08-20T02:50:15ZengMDPI AGApplied Sciences2076-34172024-11-0114231105010.3390/app142311050Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker DesignJavier Garrido-López0Manuel Jiménez-Buendía1Ana Toledo-Moreo2Jaime Giménez-Gallego3Roque Torres-Sánchez4Department of Automation, Electrical Engineering and Electronic Technology, ETSII, Universidad Politécnica de Cartagena (UPCT), 30202 Cartagena, SpainDepartment of Automation, Electrical Engineering and Electronic Technology, ETSII, Universidad Politécnica de Cartagena (UPCT), 30202 Cartagena, SpainDepartment of Automation, Electrical Engineering and Electronic Technology, ETSII, Universidad Politécnica de Cartagena (UPCT), 30202 Cartagena, SpainDepartment of Automation, Electrical Engineering and Electronic Technology, ETSII, Universidad Politécnica de Cartagena (UPCT), 30202 Cartagena, SpainDepartment of Automation, Electrical Engineering and Electronic Technology, ETSII, Universidad Politécnica de Cartagena (UPCT), 30202 Cartagena, SpainPerishable 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<sub>2</sub> 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.https://www.mdpi.com/2076-3417/14/23/11050IoT trackerreal-time monitoringshelf-life predictionfood waste reductioncellular LPWAN |
| spellingShingle | Javier Garrido-López Manuel Jiménez-Buendía Ana Toledo-Moreo Jaime Giménez-Gallego Roque Torres-Sánchez Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design Applied Sciences IoT tracker real-time monitoring shelf-life prediction food waste reduction cellular LPWAN |
| title | Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design |
| title_full | Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design |
| title_fullStr | Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design |
| title_full_unstemmed | Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design |
| title_short | Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design |
| title_sort | monitoring perishable commodities using cellular iot an intelligent real time conditions tracker design |
| topic | IoT tracker real-time monitoring shelf-life prediction food waste reduction cellular LPWAN |
| url | https://www.mdpi.com/2076-3417/14/23/11050 |
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