Publication: IOT based food monitoring system
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Date
2024-07
Authors
Muhammad Alif Daniel bin Mohd Shukri
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Abstract
This report details the development of an IoT-based food monitoring system that addresses both food safety and waste reduction. The system takes advantage of the ESP32 microcontroller's adaptability, combining computing capability and Wi-Fi connection to create a sensor network. These sensors completely monitor
environmental elements such as temperature, humidity, and light to ensure that food is stored in the appropriate conditions. The device minimizes spoilage by collecting and analyzing data in real time, resulting in less food waste. Additionally, the user-friendly digital dashboard built on the Blynk platform allows for remote monitoring and timely alarm alerts. This study highlights the revolutionary potential of IoT technology for improving food quality control and increasing sustainability in the food industry. The findings proved that environmental factors, such as light exposure, had a considerable impact on other parameters, resulting in greater microbial activity and higher temperatures in light-exposed food samples. Continuous monitoring and early warnings were found to be important in preventing food poisoning and decreasing food waste. In conclusion, the proposed smart food monitoring system based on IoT and machine learning provides a reliable and cost-effective method for monitoring food freshness. The technology has potential applications in the food business and personal use, including minimizing food waste, enhancing efficiency, and providing access to fresh, healthy food.