TY  - JOUR
AU  - Iqbal, Mazhar
AU  - Yousaf, Junaid
AU  - Khan, Atif
AU  - Muhammad, Tila
PY  - 2025
DA  - 2025/06/30
TI  - IoT-Enabled Food Freshness Detection Using Multi-Sensor Data Fusion and Mobile Sensing Interface
JO  - ICCK Transactions on Sensing, Communication, and Control
T2  - ICCK Transactions on Sensing, Communication, and Control
JF  - ICCK Transactions on Sensing, Communication, and Control
VL  - 2
IS  - 2
SP  - 122
EP  - 131
DO  - 10.62762/TSCC.2025.401245
UR  - https://www.icck.org/article/abs/TSCC.2025.401245
KW  - food freshness
KW  - IoT system
KW  - biosensors
KW  - mobile application
KW  - spoilage detection
AB  - 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 infeasible for detecting food freshness. This research proposes an IoT-based food freshness detection system that integrates a suite of electrochemical and gas sensors-including pH, moisture, and ethanol sensors-to assess food freshness and reduce health risks associated with spoilage in 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.
SN  - 3068-9287
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Iqbal2025IoTEnabled,
  author = {Mazhar Iqbal and Junaid Yousaf and Atif Khan and Tila Muhammad},
  title = {IoT-Enabled Food Freshness Detection Using Multi-Sensor Data Fusion and Mobile Sensing Interface},
  journal = {ICCK Transactions on Sensing, Communication, and Control},
  year = {2025},
  volume = {2},
  number = {2},
  pages = {122-131},
  doi = {10.62762/TSCC.2025.401245},
  url = {https://www.icck.org/article/abs/TSCC.2025.401245},
  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 infeasible for detecting food freshness. This research proposes an IoT-based food freshness detection system that integrates a suite of electrochemical and gas sensors-including pH, moisture, and ethanol sensors-to assess food freshness and reduce health risks associated with spoilage in 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.},
  keywords = {food freshness, IoT system, biosensors, mobile application, spoilage detection},
  issn = {3068-9287},
  publisher = {Institute of Central Computation and Knowledge}
}