Pineapple distribution classification using RGB and fuzzy

The aim of this study is to classify pineapple distribution based on RGB technique and fuzzy logic as classifier. Nowadays, the grading of pineapple for export is using manual inspection is not very effective and will misjudgement due to mistake of classify the maturity index by labour workers. Thes...

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Bibliographic Details
Main Author: Ezrin Tasnim, Abdul Ghani
Format: Undergraduates Project Papers
Language:English
Published: 2010
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/1981/1/Pineapple%20distribution%20classification%20using%20RGB%20and%20fuzzy.pdf
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author Ezrin Tasnim, Abdul Ghani
author_facet Ezrin Tasnim, Abdul Ghani
author_sort Ezrin Tasnim, Abdul Ghani
collection UMP
description The aim of this study is to classify pineapple distribution based on RGB technique and fuzzy logic as classifier. Nowadays, the grading of pineapple for export is using manual inspection is not very effective and will misjudgement due to mistake of classify the maturity index by labour workers. These applications of classifier pineapple maturity index are fully automated by using RGB technique and Fuzzy logic. The RGB color technique is utilized as the extracted features for the pineapple rind. Further, the extracted feature is classified using fuzzy logic system to determine the maturity level of the pineapple and the distribution mean. The result for this project is 89% accuracy in color identification process which can improve the grading pineapple system with this technique
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spelling UMPir19812023-11-02T07:21:30Z http://umpir.ump.edu.my/id/eprint/1981/ Pineapple distribution classification using RGB and fuzzy Ezrin Tasnim, Abdul Ghani TA Engineering (General). Civil engineering (General) The aim of this study is to classify pineapple distribution based on RGB technique and fuzzy logic as classifier. Nowadays, the grading of pineapple for export is using manual inspection is not very effective and will misjudgement due to mistake of classify the maturity index by labour workers. These applications of classifier pineapple maturity index are fully automated by using RGB technique and Fuzzy logic. The RGB color technique is utilized as the extracted features for the pineapple rind. Further, the extracted feature is classified using fuzzy logic system to determine the maturity level of the pineapple and the distribution mean. The result for this project is 89% accuracy in color identification process which can improve the grading pineapple system with this technique 2010-12 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/1981/1/Pineapple%20distribution%20classification%20using%20RGB%20and%20fuzzy.pdf Ezrin Tasnim, Abdul Ghani (2010) Pineapple distribution classification using RGB and fuzzy. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang.
spellingShingle TA Engineering (General). Civil engineering (General)
Ezrin Tasnim, Abdul Ghani
Pineapple distribution classification using RGB and fuzzy
title Pineapple distribution classification using RGB and fuzzy
title_full Pineapple distribution classification using RGB and fuzzy
title_fullStr Pineapple distribution classification using RGB and fuzzy
title_full_unstemmed Pineapple distribution classification using RGB and fuzzy
title_short Pineapple distribution classification using RGB and fuzzy
title_sort pineapple distribution classification using rgb and fuzzy
topic TA Engineering (General). Civil engineering (General)
url http://umpir.ump.edu.my/id/eprint/1981/1/Pineapple%20distribution%20classification%20using%20RGB%20and%20fuzzy.pdf
work_keys_str_mv AT ezrintasnimabdulghani pineappledistributionclassificationusingrgbandfuzzy