Skip to main content

An Intelligent and Smart IoT-Based Food Contamination Monitoring System

  • Conference paper
  • First Online:
Proceedings of International Conference on Computational Intelligence and Data Engineering

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 56))

Abstract

It is no wonder that one in six Indians fall ill due to food poisoning. Food Poisoning can lead to various diseases like diarrhoea, fever and many other health issues. Also, there are no current mechanisms and devices to effectively monitor the quality and freshness of food. This calls for a device to accurately monitor and report the freshness of food. In this work, we proposed a mechanism to effectively supervise the status of food. The main issues identified by the literature survey are that they have used mechanisms that are purely based on one parameter. We have resolved this issue by proposing a mechanism that monitors by taking into account all the parameters that can actually predict the status of food like moisture, pH and odour. The main strength of this work is that it is cost-effective and at the same time produces accurate and reliable results when compared to the existing mechanisms in this area.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Mustafa F, Andreescu S (2018) Chemical and biological sensors for food-quality monitoring and smart packaging, pp 1–25

    Google Scholar 

  2. Shahzad N, Khalid U, AtifIqbal, Ur-Rahman M (2018) eFresh—a device to detect food freshness. Int J Soft Comput Eng (IJSCE) 8(3):1–20

    Google Scholar 

  3. Kuswandi B (2017) “Freshness sensors for food packaging”, postharvest handling (3rd edn), 2014, Reference module in food science, pp 1–25

    Google Scholar 

  4. Ali S, Wang G, Bhuiyan MZA, Jiang H (2018) Secure data provenance in cloud-centric internet of things via blockchain smart contracts. In: IEEE smart world, ubiquitous intelligence & computing, advanced & trusted computing, scalable computing & communications, cloud & big data computing, internet of people and smart city innovation, pp 991–998

    Google Scholar 

  5. Popa A, Hnatiuc M, Paun M, Geman O, Jude Hemanth D, Dorcea D (2019) An intelligent IoT-based food quality monitoring approach using low-cost sensors. J Symm MDPI

    Google Scholar 

  6. Yousefi H, Ali MM, Su HM, Filipe CD, Didar TF (2018) Sentinel wraps, “Real-time monitoring of food contamination by printing dnazyme probes on food packaging.” ACS Nano 12:3287–3294

    Article  Google Scholar 

  7. Giuffrida A, Giarratana F, Valenti D, Muscolino D, Parisi R, Parco A, Marotta S, Ziino G, Panebianco A (2017) A new approach to predict the fish fillet shelf-life in presence of natural preservative agents. Italian J Food Safe 6(2):88–92

    Google Scholar 

  8. Sheth A, Jaimini U, Yip HY (2018) How will the internet of things enable augmented personalized health? IEEE Intell Syst 33:89–97

    Article  Google Scholar 

  9. Dutta J (2019) A next generation sensing and monitoring platform for quality assessment of perishable foods. IEEE Beyond Standard

    Google Scholar 

  10. Shroff R (2019) Smart food monitoring with smart shelves, IoT and AI. Software solutions

    Google Scholar 

  11. Paul A, Kant K (2020) Smart sensing, communication, and control in perishable food supply chain. ACM Trans Sensor Netw 16(1)

    Google Scholar 

  12. Witjaksono G, Rabih AAS, Yahya NB, Alva S (2018) IOT for agriculture: food quality and safety. IOP Conf Series Mater Sci Eng 342

    Google Scholar 

  13. Hu R, Ya Z, Ding W, Yang LT (2020) A survey on data provenance in IoT, Springer—WWW 23:1441–1463

    Google Scholar 

  14. Pal A, Kant K (2018) IoT-based sensing and communications infrastructure for the fresh food supply chain. IEEE Comput 51(2):76–80

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Harshitha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Harshitha, M., Rupa, C., Priya, B.B., Sowmya, K., Sandeep, N. (2021). An Intelligent and Smart IoT-Based Food Contamination Monitoring System. In: Chaki, N., Pejas, J., Devarakonda, N., Rao Kovvur, R.M. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 56. Springer, Singapore. https://doi.org/10.1007/978-981-15-8767-2_22

Download citation

Publish with us

Policies and ethics