https://doi.org/10.4081/jae.2022.1389

E-nose: a low-cost fruit ripeness monitoring system

Vol. 54 No. 1 (2023)
Published: 3 November 2022
Artificial neural network, electronic nose, fruit quality control, MOS sensors, volatile organic compounds.
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Authors

Pankaj Tyagi
Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, India.
Rahul Semwal
Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, India.
Anju Sharma
Department of Applied Sciences, Indian Institute of Information Technology Allahabad, Prayagraj, India.
Uma Shanker Tiwary
Department of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, India.
Pritish Varadwaj
pritish@iiita.ac.in
Department of Applied Sciences, Indian Institute of Information Technology Allahabad, Prayagraj, India.

All fruits emit some specific volatile organic compounds (VOCs) during their life cycle. These VOCs have specific characteristics; by using these characteristics fruit ripening stage can be identified with-out destroying the fruit. In this study, an application-specific electron-ic nose device was designed for monitoring fruit ripeness. The proposed electronic nose is cost-efficient and does not require any modern or costly laboratory instruments. Metal oxide semiconductor (MOS) sensors were used for designing the pro-posed electronic nose. These MOS sensors were integrated with a microcontroller board to detect and extract the meaningful fea-tures of VOCs, and an artificial neural network (ANN) algorithm was used for pattern recognition. Measurements were done with apples, bananas, oranges, grapes, and pomegranates. The designed electronic nose proved reliable in classifying fruit samples into three different fruit ripening stages (unripe, ripe, and over-ripe) with high precision and recall. Furthermore, the proposed elec-tronic nose performed uniformly on all three fruit ripening stages with an average accuracy of ≥95%.

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How to Cite

Tyagi, P. (2022) “E-nose: a low-cost fruit ripeness monitoring system”, Journal of Agricultural Engineering, 54(1). doi: 10.4081/jae.2022.1389.
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