Freshness of Food Detection using Internet of Things and Mobile Application – Result Based

computer engineering

To help consumers enjoy healthy food, technology investigation for food freshness sensing is conducted. In this study, meat is selected as the detection target based on a consumer survey CO2, TVOC, and MQ135 are investigated. The results showed that CO2 and TVOC could be used for food freshness sensing in a closed space such as a box. In today's world, food spoilage is a crucial problem as consuming spoiled food is harmful to consumers. Our project aims at detecting spoiled food using appropriate sensors and monitoring gases released by the food item. A microcontroller that senses this, issues an alert using the internet of things, so that appropriate action can be taken. This has widescale application in food industries where food detection is done manually. We plan on implementing machine learning to this model so we can estimate how likely a food is going to get spoiled and in what duration if brought from a particular vendor. This will increase competition among retailers to sell more healthy and fresh food and create a safe world for all consumers alike. We also developing a digester. The digester is designed in such a way that biomethenization process will take place and food waste will be converted to methane and liquid manure. Liquid manure can be used as biofertilizer by diluting it with an equal quantity of water.

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