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This project presents a cost-effective IoT-based system designed for monitoring temperature, humidity, and dust levels in food storage environments to mitigate the risk of food poisoning. Utilizing sensors and a microcontroller, real-time data is collected and transmitted to a cloud platform through a secure communication protocol. The cloud-based solution incorporates a backend server and a database for efficient data processing and storage. A user-friendly web or mobile interface enables stakeholders to monitor conditions, set custom thresholds, and receive timely alerts. The system's design emphasizes scalability, adaptability, and ease of deployment, making it suitable for various food storage facilities. Rigorous testing ensures the reliability and accuracy of the system, and its implementation is intended to enhance food safety practices. Ongoing maintenance and updates are incorporated to ensure the sustained effectiveness of the monitoring solution in preventing food borne illnesses.
Mohanapriya et al. (Sat,) studied this question.
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