IoT-Enabled Food Freshness Detection Using Multi-Sensor Data Fusion and Mobile Sensing Interface

Abstract

Ensuring the freshness of food products is essential for both acute and chronic health outcomes. However, significant health risks can be triggered by dietary resources subjected to improper storage protocols. Current methods are often unreliable and unfeasible for detecting food freshness. This research proposes an IoT-based food freshness detection system that uses biosensors and gas sensors to monitor perishable items like meat, produce, and dairy. The system is integrated with a mobile application that allows users to analyze food quality in real-time, based on predefined degradation thresholds. This study assists in providing valuable insights for future research and improving food safety by contributing to the data storage of food-contextual sensor thresholds. This strategy leads to more informed decision-making by consumers, mitigating food wastage and promoting healthier food choices in the process.