Classification of Starfruit Ripeness using Neural Network Technique

Classification of Starfruit Ripeness using Neural Network Technique

Starfruit is one of tropical food has been exported by Malaysia country to Europe, Middle East and Canada. The demand for this fruit is high. The exported fruits have been graded by FAMA. The graded system for starfruit ripeness is manually done by a human. The human cannot cope with high demand gra...

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Published in:Proceedings - 10th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2020
Main Author: Ahmad K.A.; Abdullah N.; Osman M.K.; Sulaiman S.N.; Abdullah M.F.; Hussain Z.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093840271&doi=10.1109%2fICCSCE50387.2020.9204929&partnerID=40&md5=913ad7d91ae474e5c28d79cc787e75b4
id 2-s2.0-85093840271
spelling 2-s2.0-85093840271
Ahmad K.A.; Abdullah N.; Osman M.K.; Sulaiman S.N.; Abdullah M.F.; Hussain Z.
Classification of Starfruit Ripeness using Neural Network Technique
2020
Proceedings - 10th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2020


10.1109/ICCSCE50387.2020.9204929
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093840271&doi=10.1109%2fICCSCE50387.2020.9204929&partnerID=40&md5=913ad7d91ae474e5c28d79cc787e75b4
Starfruit is one of tropical food has been exported by Malaysia country to Europe, Middle East and Canada. The demand for this fruit is high. The exported fruits have been graded by FAMA. The graded system for starfruit ripeness is manually done by a human. The human cannot cope with high demand graded the ripeness of starfruit. This paper proposed a classification of starfruit ripeness system using artificial neural network. The methodology of image processing has successfully demonstrated. The segmentation technique using a Euclidean distance metric has been demonstrated. The classification using a sigmoid activation function in ANN improved the recognition system. The classification system has an accuracy of 97.33%. The system can recognize the unripe, ripe and overripe of starfruit. © 2020 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper
author Ahmad K.A.; Abdullah N.; Osman M.K.; Sulaiman S.N.; Abdullah M.F.; Hussain Z.
spellingShingle Ahmad K.A.; Abdullah N.; Osman M.K.; Sulaiman S.N.; Abdullah M.F.; Hussain Z.
Classification of Starfruit Ripeness using Neural Network Technique
author_facet Ahmad K.A.; Abdullah N.; Osman M.K.; Sulaiman S.N.; Abdullah M.F.; Hussain Z.
author_sort Ahmad K.A.; Abdullah N.; Osman M.K.; Sulaiman S.N.; Abdullah M.F.; Hussain Z.
title Classification of Starfruit Ripeness using Neural Network Technique
title_short Classification of Starfruit Ripeness using Neural Network Technique
title_full Classification of Starfruit Ripeness using Neural Network Technique
title_fullStr Classification of Starfruit Ripeness using Neural Network Technique
title_full_unstemmed Classification of Starfruit Ripeness using Neural Network Technique
title_sort Classification of Starfruit Ripeness using Neural Network Technique
publishDate 2020
container_title Proceedings - 10th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2020
container_volume
container_issue
doi_str_mv 10.1109/ICCSCE50387.2020.9204929
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093840271&doi=10.1109%2fICCSCE50387.2020.9204929&partnerID=40&md5=913ad7d91ae474e5c28d79cc787e75b4
description Starfruit is one of tropical food has been exported by Malaysia country to Europe, Middle East and Canada. The demand for this fruit is high. The exported fruits have been graded by FAMA. The graded system for starfruit ripeness is manually done by a human. The human cannot cope with high demand graded the ripeness of starfruit. This paper proposed a classification of starfruit ripeness system using artificial neural network. The methodology of image processing has successfully demonstrated. The segmentation technique using a Euclidean distance metric has been demonstrated. The classification using a sigmoid activation function in ANN improved the recognition system. The classification system has an accuracy of 97.33%. The system can recognize the unripe, ripe and overripe of starfruit. © 2020 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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