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IoT-Enabled Food Freshness Detection Using Multi-Sensor Data Fusion and Mobile Sensing Interface
Research Article | Published: 30 June 2025
ICCK Transactions on Sensing, Communication, and Control Volume 2, Issue 2, 2025: 122-131
Volume 2, Issue 2, ICCK Transactions on Sensing, Communication, and Control
Volume 2, Issue 2, 2025
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ICCK Transactions on Sensing, Communication, and Control, Volume 2, Issue 2, 2025: 122-131

Research Article | 30 June 2025
IoT-Enabled Food Freshness Detection Using Multi-Sensor Data Fusion and Mobile Sensing Interface
by
Mazhar Iqbal Mazhar Iqbal 1 *
Junaid Yousaf Junaid Yousaf 2
Atif Khan Atif Khan 3
Tila Muhammad Tila Muhammad 3
1 Graduate School of Information Science and Technology, The University of Osaka, Japan
2 Faculty of Computer Science and Engineering, Ghulam Ishaq Khan Institute, Pakistan
3 Department of Computer Science, Islamia College Peshawar, KPK, Pakistan
* Corresponding Author: Mazhar Iqbal, [email protected]
DOI: 10.62762/TSCC.2025.401245
Received: 14 March 2025, Accepted: 02 May 2025, Published: 30 June 2025  
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Abstract
Ensuring the freshness of food products is essential for both acute and chronic health outcomes. However, significant health risks can be triggered by dietary resources subjected to improper storage protocols. Current methods are often unreliable and unfeasible for detecting food freshness. This research proposes an IoT-based food freshness detection system that uses biosensors and gas sensors to monitor perishable items like meat, produce, and dairy. The system is integrated with a mobile application that allows users to analyze food quality in real-time, based on predefined degradation thresholds. This study assists in providing valuable insights for future research and improving food safety by contributing to the data storage of food-contextual sensor thresholds. This strategy leads to more informed decision-making by consumers, mitigating food wastage and promoting healthier food choices in the process.
Graphical Abstract
IoT-Enabled Food Freshness Detection Using Multi-Sensor Data Fusion and Mobile Sensing Interface
Keywords
food freshness
IoT system
biosensors
mobile application
spoilage detection
Data Availability Statement
Data will be made available on request.
Funding
This work was supported without any funding.
Conflicts of Interest
The authors declare no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
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Cite This Article
APA Style
Iqbal, M., Yousaf, J., Khan, A., & Muhammad, T. (2025). IoT-Enabled Food Freshness Detection Using Multi-Sensor Data Fusion and Mobile Sensing Interface. ICCK Transactions on Sensing, Communication, and Control, 2(2), 122–131. https://doi.org/10.62762/TSCC.2025.401245
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CC BY Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
ICCK Transactions on Sensing, Communication, and Control

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