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Section II

Electronic Honey Quality Analyser


C. R. M. Anthony ,

ZTE Lanka (Pvt) Ltd., LK
About C. R. M.


Eng. , AMIE(Sri Lanka), BTech (Eng)(OUSL),

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D. N. Balasuriya

The Open University, LK
About D. N.

Senior Lecturer, Department of Electrical & Computer Engineering,

Eng. , CEng, MIE(Sri Lanka), B.Sc. Eng. (Hons) (Moratuwa), MSc (Manitoba),

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The detection of adulterated honey is a considerable challenge in the Sri Lankan context. The usual practice is to independently check the different parameters in order to determine the quality of a given honey sample. However, measuring and employing a single parameter for the classification reduces the accuracy of the classification. Thus, in this paper a multi-parameter based honey quality classification is proposed to ensure a better accuracy. The design of a parameter detector and a classifier which can automatically complete the classification of a given sample is also presented. This classifier operating on support vector machines is first trained using an array of honey samples obtained in Sri Lanka. The resultant classifier shows a high level of accuracy of 97.5% for the randomly selected test sample set. The proposed system is a handy tool for accurate, quick, low cost and simple honey quality checking.
How to Cite: Anthony, C.R.M. and Balasuriya, D.N., 2016. Electronic Honey Quality Analyser. Engineer: Journal of the Institution of Engineers, Sri Lanka, 49(3), pp.41–47. DOI:
Published on 29 Jul 2016.
Peer Reviewed


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