TY - GEN
T1 - Linear discriminant analysis based Indian fruit juice classification using NIR spectrometry data
AU - Chakraborty, Dwaipayan
AU - Dutta, Oindrilla
AU - Sarkar, Arindam
AU - Ghoshal, Sayari
AU - Saha, Sankhadip
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/6
Y1 - 2014/11/6
N2 - A large variety of fruit juices are available in the Indian market. These juices differ from one another in terms of quality and added ingredients. Fruit juices from two different commercial brands are compared with their consequent homemade ones using a portable near infrared (NIR) spectrometer in the range of 250-925 nm of wavelength. Juices extracted from apple, grapes, mango, orange, pineapple and pomegranate are used as samples for our experiment. The results are clustered using linear discriminant analysis (LDA) for the visualization of class distinction. Despite variations in the contents of a particular fruit juice obtained from different sources, a particular pattern is observed. The characteristic features of the commercial juices and homemade ones for each fruit juice are visible in the near infrared range. Linear discriminant analysis (LDA) has rendered a distinct clustering pattern to successfully differentiate all commercial brands and homemade juice for each fruit.
AB - A large variety of fruit juices are available in the Indian market. These juices differ from one another in terms of quality and added ingredients. Fruit juices from two different commercial brands are compared with their consequent homemade ones using a portable near infrared (NIR) spectrometer in the range of 250-925 nm of wavelength. Juices extracted from apple, grapes, mango, orange, pineapple and pomegranate are used as samples for our experiment. The results are clustered using linear discriminant analysis (LDA) for the visualization of class distinction. Despite variations in the contents of a particular fruit juice obtained from different sources, a particular pattern is observed. The characteristic features of the commercial juices and homemade ones for each fruit juice are visible in the near infrared range. Linear discriminant analysis (LDA) has rendered a distinct clustering pattern to successfully differentiate all commercial brands and homemade juice for each fruit.
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U2 - 10.1109/CONFLUENCE.2014.6949371
DO - 10.1109/CONFLUENCE.2014.6949371
M3 - Conference contribution
AN - SCOPUS:84914118640
T3 - Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit
SP - 144
EP - 148
BT - Proceedings of the 5th International Conference on Confluence 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Confluence 2014 - The Next Generation Information Technology Summit
Y2 - 25 September 2014 through 26 September 2014
ER -