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Determination of Apple, Lemon, and Banana Ripening Stages Using Electronic Nose and Image Processing

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Innovations in Cyber Physical Systems

Abstract

The objective of this paper is to determine the ripening stages of fruits like the unripe stage, ripeness stage, and overripe stage by using electronic nose and image processing. The electronic nose consists of an array of sensors such as MQ-3, MQ-6, MQ-8, MQ-135 was placed inside the fruit chamber to detect the various odors emitted from the fruits. Each sensor is capable of detecting various gases that were emitted from apple, lemon, and banana. Based upon the value detected by these sensors, ripening stages of these fruit samples were done. Parallel to this image processing technique was done to determine the ripening stages of these fruit samples by their color and shape. Finally, the results obtained by electronic nose and image processing techniques were compared along with manual verification by the human being to improve the accuracy of the ripening stages of apple, lemon, and banana.

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Suthagar, S., Tamilselvan, K.S., Priyadharshini, M., Nihila, B. (2021). Determination of Apple, Lemon, and Banana Ripening Stages Using Electronic Nose and Image Processing. In: Singh, J., Kumar, S., Choudhury, U. (eds) Innovations in Cyber Physical Systems. Lecture Notes in Electrical Engineering, vol 788. Springer, Singapore. https://doi.org/10.1007/978-981-16-4149-7_70

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  • DOI: https://doi.org/10.1007/978-981-16-4149-7_70

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4148-0

  • Online ISBN: 978-981-16-4149-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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