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A Comprehensive Study on Fruit Odour Detection and Classification Techniques Using eNose

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Advances in Micro-Electronics, Embedded Systems and IoT

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 838))

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Abstract

This paper is an overview of various processes involved in the implementation of electronic nose for detection of fruit odour. Volatile gas detection techniques for fruits (especially mango) at different stages of ripening are given. These gases are detected by an array of sensors which are selected depending on the ability to detect the dominant gas component for the samples. Various pattern recognition algorithms along with different methods of training an artificial neural network (ANN) are stated. The major objective of the paper is to present a collective survey data on various procedures involved in determining the stages of ripeness in mango.

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Authors and Affiliations

  1. Sathyabama University, Chennai, India

    Kalidindi Lakshmi Divya & V. Vijaya Baskar

Authors
  1. Kalidindi Lakshmi Divya
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  2. V. Vijaya Baskar
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Corresponding author

Correspondence to Kalidindi Lakshmi Divya .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Raghu Institute of Technology, Visakhapatnam, Andhra Pradesh, India

    V. V. S. S. S. Chakravarthy

  2. Autonomous University of Baja California, Mexicali, Baja California, Mexico

    Wendy Flores-Fuentes

  3. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial College of Engineering and Management (SRMCEM), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  4. Bhubaneswar Engineering College, Bhubaneswar, Odisha, India

    B.N. Biswal

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Divya, K.L., Baskar, V.V. (2022). A Comprehensive Study on Fruit Odour Detection and Classification Techniques Using eNose. In: Chakravarthy, V.V.S.S.S., Flores-Fuentes, W., Bhateja, V., Biswal, B. (eds) Advances in Micro-Electronics, Embedded Systems and IoT. Lecture Notes in Electrical Engineering, vol 838. Springer, Singapore. https://doi.org/10.1007/978-981-16-8550-7_41

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  • DOI: https://doi.org/10.1007/978-981-16-8550-7_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8549-1

  • Online ISBN: 978-981-16-8550-7

  • eBook Packages: EngineeringEngineering (R0)

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