The Freshness of Food Detection using the Internet of Things and Android App

Computer Engineering

One-third of the food produced globally is wasted and that equates to 1.3 billion tons of food we eat. Excess food waste is something that regularly occurs at hotels, family functions, parties, etc. To gain an understanding of the scale of the problem, the excess food we waste has a large impact on various environmental factors. Freshness is a significant indicator of the quality of seafood and other food products. Food processing, storage, and marketing of food and edible products all heavily rely on the rapid detection of their freshness. In this study, a rapid and nondestructive food freshness detection method is proposed in response to the drawbacks of current food freshness detection approaches. This IoT-based system aims to detect the quality and freshness of food using various sensors and algorithms. We first retrieved the VOC gases of the food product and down sampled them before obtaining features. Finally, freshness detection is carried out using the Machine learning algorithm. An application is proposed to display the results of checking food items by the device.

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