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...
| Published in: | 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 |
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| Format: | Conference paper |
| Language: | English |
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2009
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| 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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2-s2.0-71049137319 |
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2-s2.0-71049137319 Rahman F.Y.A.; Baki S.R.M.S.; Yassin A.I.M.; Tahir N.Md.; Ishak W.I.W. Monitoring of watermelon ripeness based on fuzzy logic 2009 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 6 10.1109/CSIE.2009.912 https://www.scopus.com/inward/record.uri?eid=2-s2.0-71049137319&doi=10.1109%2fCSIE.2009.912&partnerID=40&md5=dca3a5eacf737875f9e4b74181641c3c 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. English Conference paper |
| author |
Rahman F.Y.A.; Baki S.R.M.S.; Yassin A.I.M.; Tahir N.Md.; Ishak W.I.W. |
| spellingShingle |
Rahman F.Y.A.; Baki S.R.M.S.; Yassin A.I.M.; Tahir N.Md.; Ishak W.I.W. Monitoring of watermelon ripeness based on fuzzy logic |
| author_facet |
Rahman F.Y.A.; Baki S.R.M.S.; Yassin A.I.M.; Tahir N.Md.; Ishak W.I.W. |
| author_sort |
Rahman F.Y.A.; Baki S.R.M.S.; Yassin A.I.M.; Tahir N.Md.; Ishak W.I.W. |
| title |
Monitoring of watermelon ripeness based on fuzzy logic |
| title_short |
Monitoring of watermelon ripeness based on fuzzy logic |
| title_full |
Monitoring of watermelon ripeness based on fuzzy logic |
| title_fullStr |
Monitoring of watermelon ripeness based on fuzzy logic |
| title_full_unstemmed |
Monitoring of watermelon ripeness based on fuzzy logic |
| title_sort |
Monitoring of watermelon ripeness based on fuzzy logic |
| publishDate |
2009 |
| container_title |
2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 |
| container_volume |
6 |
| container_issue |
|
| doi_str_mv |
10.1109/CSIE.2009.912 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-71049137319&doi=10.1109%2fCSIE.2009.912&partnerID=40&md5=dca3a5eacf737875f9e4b74181641c3c |
| description |
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. |
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| issn |
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| language |
English |
| format |
Conference paper |
| accesstype |
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| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1809677915266220032 |