Monitoring of watermelon ripeness based on fuzzy logic

Monitoring of watermelon ripeness based on fuzzy logic

The aim of this study is to monitor watermelon ripeness based on image processing technique and fuzzy logic as classifier. The RGB color technique is utilized as the extracted features for the watermelon's rind. Further, the extracted feature is classified using fuzzy logic system to determine...

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Bibliographic Details
Published in:2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Main Author: Rahman F.Y.A.; Baki S.R.M.S.; Yassin A.I.M.; Tahir N.Md.; Ishak W.I.W.
Format: Conference paper
Language:English
Published: 2009
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-71049137319&doi=10.1109%2fCSIE.2009.912&partnerID=40&md5=dca3a5eacf737875f9e4b74181641c3c
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Summary:The aim of this study is to monitor watermelon ripeness based on image processing technique and fuzzy logic as classifier. The RGB color technique is utilized as the extracted features for the watermelon's rind. Further, the extracted feature is classified using fuzzy logic system to determine the ripeness level of the watermelon. In addition, the same set of watermelons is graded by both human expert and fuzzy logic system for comparison purpose. Results attained demonstrate the ability of the proposed method in grading and classifying ripeness of watermelons. © 2008 IEEE.
ISSN:
DOI:10.1109/CSIE.2009.912

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