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Title: :  Freshness of Food Detection using Internet of Things and Mobile Application – Result Based
PaperId: :  14627
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14627
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pooja SanapLate G. N. Sapkal College of Engineering
Nilima GunjalLate G. N. Sapkal College of Engineering
Rutuja MarkandeLate G. N. Sapkal College of Engineering
Aditi PatilLate G. N. Sapkal College of Engineering
Shraddha ShindeLate G. N. Sapkal College of Engineering

Abstract

computer engineering
food freshness, TVOC, CO2, machine learning, IoT
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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IJARIIE Pooja Sanap, Nilima Gunjal, Rutuja Markande, Aditi Patil, and Shraddha Shinde. "Freshness of Food Detection using Internet of Things and Mobile Application – Result Based" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 2578-2581
MLA Pooja Sanap, Nilima Gunjal, Rutuja Markande, Aditi Patil, and Shraddha Shinde. "Freshness of Food Detection using Internet of Things and Mobile Application – Result Based." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 2578-2581.
APA Pooja Sanap, Nilima Gunjal, Rutuja Markande, Aditi Patil, & Shraddha Shinde. (2021). Freshness of Food Detection using Internet of Things and Mobile Application – Result Based. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 2578-2581.
Chicago Pooja Sanap, Nilima Gunjal, Rutuja Markande, Aditi Patil, and Shraddha Shinde. "Freshness of Food Detection using Internet of Things and Mobile Application – Result Based." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 2578-2581.
Oxford Pooja Sanap, Nilima Gunjal, Rutuja Markande, Aditi Patil, and Shraddha Shinde. 'Freshness of Food Detection using Internet of Things and Mobile Application – Result Based', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 2578-2581. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Freshness_of_Food_Detection_using_Internet_of_Things_and_Mobile_Application_–_Result_Based_ijariie14627.pdf (Accessed : ).
Harvard Pooja Sanap, Nilima Gunjal, Rutuja Markande, Aditi Patil, and Shraddha Shinde. (2021) 'Freshness of Food Detection using Internet of Things and Mobile Application – Result Based', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 2578-2581IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Freshness_of_Food_Detection_using_Internet_of_Things_and_Mobile_Application_–_Result_Based_ijariie14627.pdf (Accessed : )
IEEE Pooja Sanap, Nilima Gunjal, Rutuja Markande, Aditi Patil, and Shraddha Shinde, "Freshness of Food Detection using Internet of Things and Mobile Application – Result Based," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 2578-2581, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Freshness_of_Food_Detection_using_Internet_of_Things_and_Mobile_Application_–_Result_Based_ijariie14627.pdf [Accessed : ].
Turabian Pooja Sanap, Nilima Gunjal, Rutuja Markande, Aditi Patil, and Shraddha Shinde. "Freshness of Food Detection using Internet of Things and Mobile Application – Result Based." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 ().
Vancouver Pooja Sanap, Nilima Gunjal, Rutuja Markande, Aditi Patil, and Shraddha Shinde. Freshness of Food Detection using Internet of Things and Mobile Application – Result Based. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(3) : 2578-2581. Available from: https://ijariie.com/AdminUploadPdf/Freshness_of_Food_Detection_using_Internet_of_Things_and_Mobile_Application_–_Result_Based_ijariie14627.pdf
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