IoT‐Based Food Quality Monitoring System
ABSTRACT The demand for fast, precise, and sensitive food safety methods is growing as consumers increasingly rely on online food delivery services. Food products shipped from South America to Europe can spend more than 21 days in transit, often resulting in deterioration, mould, or pathogen growth. Similar risks apply in the food service industry, where food may have been stored or handled improperly, leading to foodborne illness. This paper presents the Edispotter, an IoT‐based food quality monitoring system designed to address these and similar issues. Using Raspberry Pi and ESP32, the Edispotter collects essential food quality data through various sensors. The data are processed and stored in a Redis database within an Amazon Web Services (AWS) cloud environment, providing real‐time food‐based status updates via an Android application.
Authors
- Kunal Kumar (ORCID: https://orcid.org/0000-0001-6711-9784)
- Thomas M. Collins
- R. K. Tailor (ORCID: https://orcid.org/0000-0001-6096-458X)
- Hosam El‐Ocla (ORCID: https://orcid.org/0000-0002-8202-7762)
- Sanjai J. Parikh (ORCID: https://orcid.org/0000-0002-5260-0417)
Institutions
- Lakehead University (CA)
Publication Details
- Journal
- IET Wireless Sensor Systems
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/wss2.70008
- Citations
- 4
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 2.45