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Monitoring of Watermelon Ripeness Based on Fuzzy Logic

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5 Author(s)
Rahman, F.Y.A. ; Fac. of Electr. Eng., Univ. of Technol. MARA, Shah Alam, Malaysia ; Baki, S.R.M.S. ; Yassin, A. ; Tahir, N.M.
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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 watermelonpsilas 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.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:6 )

Date of Conference:

March 31 2009-April 2 2009