Banana quality attribute prediction and ripeness classification using support vector machine

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Banana quality attribute prediction and ripeness classification using support vector machine

Five laser diodes of 532, 660, 785, 830 and 1060nm laser light back scattering imaging (LLBI) were employed for quality attribute prediction and ripening stage classification of banana. A support vector machine (SVM) was tested to establish the theoretical prediction and classification mod...

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Bibliographic Details
Main Authors:	Adebayo, Segun Emmanuel, Hashim, Norhashila, Abdan, Khalina, Hanafi, Marsyita, Sasse, Manuela Zude
Format:	Article
Language:	English
Published:	The Berkeley Electronic Press 2017
Online Access:	http://psasir.upm.edu.my/id/eprint/60987/ http://psasir.upm.edu.my/id/eprint/60987/1/Banana%20quality%20attribute%20prediction%20and%20ripeness%20classification%20using%20support%20vector%20machine.pdf

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