Rashmi Tailor, Smit Parikh, Kamalakannan Kumar, Thomas Collins, Hosam El-Ocla
{"title":"基于物联网的食品质量监控系统","authors":"Rashmi Tailor, Smit Parikh, Kamalakannan Kumar, Thomas Collins, Hosam El-Ocla","doi":"10.1049/wss2.70008","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"15 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70008","citationCount":"0","resultStr":"{\"title\":\"IoT-Based Food Quality Monitoring System\",\"authors\":\"Rashmi Tailor, Smit Parikh, Kamalakannan Kumar, Thomas Collins, Hosam El-Ocla\",\"doi\":\"10.1049/wss2.70008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":51726,\"journal\":{\"name\":\"IET Wireless Sensor Systems\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.70008\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Wireless Sensor Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/wss2.70008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Wireless Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/wss2.70008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
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.
期刊介绍:
IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.