Freshness of Food Detection using Internet of Things and Mobile Application

April 2021
Vol-7, Issue-2
Paper ID: 14011
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
food safety machine learning IoT
Abstract
In today's world, food spoilage is a crucial problem as consuming spoiled food is harmful for consumers. Our project aims at detecting spoiled food using appropriate sensors and monitoring gases released by the food item. A micro controller that senses this, issues an alert using 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 a 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 bio fertilizer by diluting it with equal quantity of water.

Author Information

# Name Institute / Affiliation
1 Pooja Sanap1 Late G. N. Sapkal College of Engineering, Nashik, INDIA
2 Nilima Gunjal Sapkal College of Engineering, Nashik, INDIA
3 Rutuja Markande Late G. N. Sapkal College of Engineering, Nashik, INDIA
4 Aditi Patil Late G. N. Sapkal College of Engineering, Nashik, INDIA
5 Shraddha Shinde Late G. N. Sapkal College of Engineering, Nashik, INDIA

How to Cite

Use the following formats to cite this article in your research.

APA Style
Sanap1, Pooja, Gunjal, Nilima, Markande, Rutuja, Patil, Aditi, & Shinde, Shraddha (2021). Freshness of Food Detection using Internet of Things and Mobile Application. International Journal of Advance Research and Innovative Ideas In Education, 7(2), 1180-1182.
MLA Style
Sanap1, Pooja, et al. "Freshness of Food Detection using Internet of Things and Mobile Application." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, 2021, pp. 1180-1182.
IEEE Style
Pooja Sanap1, Nilima Gunjal, Rutuja Markande, Aditi Patil, and Shraddha Shinde, "Freshness of Food Detection using Internet of Things and Mobile Application," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, pp. 1180-1182, 2021.
Vancouver Style
Sanap1 Pooja, Gunjal Nilima, Markande Rutuja, Patil Aditi, Shinde Shraddha. Freshness of Food Detection using Internet of Things and Mobile Application. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(2):1180-1182.
Harvard Style
Sanap1, Pooja, Gunjal, Nilima, Markande, Rutuja, Patil, Aditi, & Shinde, Shraddha (2021) 'Freshness of Food Detection using Internet of Things and Mobile Application', International Journal of Advance Research and Innovative Ideas In Education, 7(2), pp. 1180-1182.
Chicago Style
Sanap1, Pooja, et al. "Freshness of Food Detection using Internet of Things and Mobile Application." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 1180-1182.
Turabian Style
Sanap1, Pooja, et al. "Freshness of Food Detection using Internet of Things and Mobile Application." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 1180-1182.

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