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Title: :  The freshness of food detection using the internet of things.
PaperId: :  23273
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23273
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof. S.S. PundeLoknete Gopinathji Munde Institute of Engineering Education & Research, Nashik, Maharashtra, India
Kavita VaradeLoknete Gopinathji Munde Institute of Engineering Education & Research, Nashik, Maharashtra, India
Akshada GhugeLoknete Gopinathji Munde Institute of Engineering Education & Research, Nashik, Maharashtra, India
Shraddha RanshavareLoknete Gopinathji Munde Institute of Engineering Education & Research, Nashik, Maharashtra, India

Abstract

Electronics and Telecommunication Engineering
food safety, machine learning, IoT, food freshness detection, food industries
Around one-third of the food produced globally ends up as waste, totaling a staggering 1.3 billion tons annually. This waste is particularly prevalent at venues like hotels, family gatherings, and parties. The magnitude of this issue becomes apparent when considering its substantial environmental ramifications. Freshness plays a pivotal role in determining the quality of seafood and other perishable goods. The efficiency of food processing, storage, and marketing hinges on the ability to swiftly ascertain freshness. To address the limitations of existing freshness detection methods, this study introduces a rapid and non-invasive approach. The proposed method leverages IoT technology, employing an array of sensors and sophisticated algorithms to evaluate food quality and freshness. Initially, volatile organic compound (VOC) gases emitted by the food are collected and analyzed for distinctive features. Subsequently, a machine learning algorithm is employed for freshness assessment. To facilitate user interaction and interpretation of results, an application is designed to showcase the outcomes of food inspections conducted by the device. This innovative system aims to mitigate food waste by enhancing our ability to monitor and manage freshness levels effectively.

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IJARIIE Prof. S.S. Punde, Kavita Varade, Akshada Ghuge, and Shraddha Ranshavare. "The freshness of food detection using the internet of things." International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 3679-3683
MLA Prof. S.S. Punde, Kavita Varade, Akshada Ghuge, and Shraddha Ranshavare. "The freshness of food detection using the internet of things.." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 3679-3683.
APA Prof. S.S. Punde, Kavita Varade, Akshada Ghuge, & Shraddha Ranshavare. (2024). The freshness of food detection using the internet of things.. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 3679-3683.
Chicago Prof. S.S. Punde, Kavita Varade, Akshada Ghuge, and Shraddha Ranshavare. "The freshness of food detection using the internet of things.." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 3679-3683.
Oxford Prof. S.S. Punde, Kavita Varade, Akshada Ghuge, and Shraddha Ranshavare. 'The freshness of food detection using the internet of things.', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 3679-3683. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/The_freshness_of_food_detection_using_the_internet_of_things__ijariie23273.pdf (Accessed : ).
Harvard Prof. S.S. Punde, Kavita Varade, Akshada Ghuge, and Shraddha Ranshavare. (2024) 'The freshness of food detection using the internet of things.', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 3679-3683IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/The_freshness_of_food_detection_using_the_internet_of_things__ijariie23273.pdf (Accessed : )
IEEE Prof. S.S. Punde, Kavita Varade, Akshada Ghuge, and Shraddha Ranshavare, "The freshness of food detection using the internet of things.," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 3679-3683, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/The_freshness_of_food_detection_using_the_internet_of_things__ijariie23273.pdf [Accessed : ].
Turabian Prof. S.S. Punde, Kavita Varade, Akshada Ghuge, and Shraddha Ranshavare. "The freshness of food detection using the internet of things.." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Prof. S.S. Punde, Kavita Varade, Akshada Ghuge, and Shraddha Ranshavare. The freshness of food detection using the internet of things.. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 3679-3683. Available from: https://ijariie.com/AdminUploadPdf/The_freshness_of_food_detection_using_the_internet_of_things__ijariie23273.pdf
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