Electronic-nose system for classification of fruits and freshness measurement using K-NN algorithm

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Abstract

The main objective of this work is to design electronic nose system (E-Nose) which detects the odour and freshness of different fruits such as mango, pineapple, orange which are mainly used in food manufacturing industries. E-Nose system consists of sensor array of two with each sensor respond to different types of odours. These sensor data is analyzed with the K-nearest neighbour algorithm (K-NN Algorithm) using MATLAB for identification of different fruits. Freshness of fruit juice is determined by the measurement of pH value of juice by using pH electrode.

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Kalpana, S., & Lakshmi Baghyam, A. (2019). Electronic-nose system for classification of fruits and freshness measurement using K-NN algorithm. International Journal of Innovative Technology and Exploring Engineering, 8(6 Special Issue 4), 641–644. https://doi.org/10.35940/ijitee.F1132.0486S419

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