Multispectral Imaging System to Estimate Sugar Adulteration Level of Black Tea

E.M.S.L.B. Ekanayake, W.A.N.D. Wickramasinghe,A.D. Wijesinghe, M.A.C.S. Wijedasa, H.M.H.K. Weerasooriya,D.Y.L. Ranasinghe,M.P.B. Ekanayake,H.M.V.R. Herath,G.M.R.I. Godaliyadda,T. Madhujith

2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS)（2021）

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摘要

In the world, black tea can be classified as one of the most commercial and popular consumer drinkings. Due to the demand of the world, the tea is adulterated using various additives and colours. As a result, the identification techniques are very important to maintain the quality tea product among the consumers. In China, India, Sri Lanka and many South Asian countries, black tea is a key agricul...

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关键词

Support vector machines,Deep learning,Multispectral imaging,Sugar industry,Hardware,Classification algorithms,Safety

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