Next Article in Journal
Domain-Invariant Few-Shot Contrastive Learning for Hyperspectral Image Classification
Previous Article in Journal
Smart Cities and Resident Well-Being: Using the BTOPSIS Method to Assess Citizen Life Satisfaction in European Cities
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design

by
Javier Garrido-López
,
Manuel Jiménez-Buendía
*,
Ana Toledo-Moreo
,
Jaime Giménez-Gallego
and
Roque Torres-Sánchez
Department of Automation, Electrical Engineering and Electronic Technology, ETSII, Universidad Politécnica de Cartagena (UPCT), 30202 Cartagena, Spain
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(23), 11050; https://doi.org/10.3390/app142311050
Submission received: 22 October 2024 / Revised: 18 November 2024 / Accepted: 25 November 2024 / Published: 27 November 2024
(This article belongs to the Section Applied Industrial Technologies)

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.

Abstract

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, CO2 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.
Keywords: IoT tracker; real-time monitoring; shelf-life prediction; food waste reduction; cellular LPWAN IoT tracker; real-time monitoring; shelf-life prediction; food waste reduction; cellular LPWAN

Share and Cite

MDPI and ACS Style

Garrido-López, J.; Jiménez-Buendía, M.; Toledo-Moreo, A.; Giménez-Gallego, J.; Torres-Sánchez, R. Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design. Appl. Sci. 2024, 14, 11050. https://doi.org/10.3390/app142311050

AMA Style

Garrido-López J, Jiménez-Buendía M, Toledo-Moreo A, Giménez-Gallego J, Torres-Sánchez R. Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design. Applied Sciences. 2024; 14(23):11050. https://doi.org/10.3390/app142311050

Chicago/Turabian Style

Garrido-López, Javier, Manuel Jiménez-Buendía, Ana Toledo-Moreo, Jaime Giménez-Gallego, and Roque Torres-Sánchez. 2024. "Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design" Applied Sciences 14, no. 23: 11050. https://doi.org/10.3390/app142311050

APA Style

Garrido-López, J., Jiménez-Buendía, M., Toledo-Moreo, A., Giménez-Gallego, J., & Torres-Sánchez, R. (2024). Monitoring Perishable Commodities Using Cellular IoT: An Intelligent Real-Time Conditions Tracker Design. Applied Sciences, 14(23), 11050. https://doi.org/10.3390/app142311050

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop