Laser-induced backscattering imaging for classification of seeded and seedless watermelons

•Classification of watermelon samples based on the backscattering parameters.•Seeded and seedless watermelons were classified using principal component analysis.•PCA classification of watermelons can be done by using backscattering imaging. This paper evaluates the feasibility of laser-induced backs...

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Bibliographic Details
Published in:	Computers and electronics in agriculture Vol. 140; pp. 311 - 316
Main Authors:	Mohd Ali, Maimunah, Hashim, Norhashila, Bejo, Siti Khairunniza, Shamsudin, Rosnah
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.08.2017 Elsevier BV
Subjects:	Algorithms Backscattering Backscattering imaging data collection Datasets Discriminant analysis Feasibility studies Fruits image analysis Image classification Imaging Laser light Lasers Pattern recognition Pattern recognition algorithm principal component analysis Principal components analysis Scattering Storage Watermelon watermelons Backscattering imaging Pattern recognition algorithm Laser light Storage Watermelon
ISSN:	0168-1699, 1872-7107
Online Access:	Get full text
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