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2009 WRI World Congress on Computer Science and Information Engineering
Monitoring of Watermelon Ripeness Based on Fuzzy Logic
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
ASCII Text
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Farah Yasmin Abdul Rahman, Shah Rizam Mohd Shah Baki, Ahmad Ihsan Mohd Yassin, Nooritawati Md. Tahir, Wan Illia Wan Ishak, "Monitoring of Watermelon Ripeness Based on Fuzzy Logic," Computer Science and Information Engineering, World Congress on, vol. 6, pp. 67-70, 2009 WRI World Congress on Computer Science and Information Engineering, 2009.
 
 
BibTex
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@article{ 10.1109/CSIE.2009.912,
author = {Farah Yasmin Abdul Rahman and Shah Rizam Mohd Shah Baki and Ahmad Ihsan Mohd Yassin and Nooritawati Md. Tahir and Wan Illia Wan Ishak},
title = {Monitoring of Watermelon Ripeness Based on Fuzzy Logic},
journal ={Computer Science and Information Engineering, World Congress on},
volume = {6},
year = {2009},
isbn = {978-0-7695-3507-4},
pages = {67-70},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.912},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Science and Information Engineering, World Congress on
TI - Monitoring of Watermelon Ripeness Based on Fuzzy Logic
SN - 978-0-7695-3507-4
SP67
EP70
A1 - Farah Yasmin Abdul Rahman,
A1 - Shah Rizam Mohd Shah Baki,
A1 - Ahmad Ihsan Mohd Yassin,
A1 - Nooritawati Md. Tahir,
A1 - Wan Illia Wan Ishak,
PY - 2009
KW - Watermelons
KW - RGB Color Space
KW - Fuzzy Logic
VL - 6
JA - Computer Science and Information Engineering, World Congress on
ER -
 
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.
Index Terms:
Watermelons, RGB Color Space, Fuzzy Logic
Citation:
Farah Yasmin Abdul Rahman, Shah Rizam Mohd Shah Baki, Ahmad Ihsan Mohd Yassin, Nooritawati Md. Tahir, Wan Illia Wan Ishak, "Monitoring of Watermelon Ripeness Based on Fuzzy Logic," csie, vol. 6, pp.67-70, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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