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.

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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
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article

IoT‐Based Food Quality Monitoring System

Kunal Kumar, Thomas M. Collins, R. K. Tailor, Hosam El‐Ocla et al.
4 citations
IET Wireless Sensor Systems
Water Quality Monitoring Technologies
2.45
article

IoT‐Based Food Quality Monitoring System

Kunal Kumar, Thomas M. Collins, R. K. Tailor, Hosam El‐Ocla, Sanjai J. Parikh
article en
4 citations

Abstract

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.

IET Wireless Sensor SystemsVol. 15(1)
Lakehead University (CA)
Openalex Percentile: Top 12%
Water Quality Monitoring Technologies
2.45
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IoT‐Based Food Quality Monitoring System — Kunal Kumar, Thomas M. Collins, et al. · IET Wireless Sensor Systems (2025) | TGRS Research Map | TGRS