Automatic classification of Weevil-Infested Harum Manis mangoes using Artificial Immune Systems approach

Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar. Perlis.

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Main Authors: Puteh, Saad, Hasnah, Ahmad, Yasmin, Yacob, Rafikha Aliana, A. Raof, Sabarina, Ismail
Format: Working Paper
Language:English
Published: Kolej Universiti Kejuruteraan Utara Malaysia 2009
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7136
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spelling my.unimap-71362009-09-08T05:13:55Z Automatic classification of Weevil-Infested Harum Manis mangoes using Artificial Immune Systems approach Puteh, Saad Hasnah, Ahmad Yasmin, Yacob Rafikha Aliana, A. Raof Sabarina, Ismail Artificial Immune systems Nondestructive detection method Self and nonself recognition Chemical detectors Nondestructive testing X-ray imaging technology Imaging systems Artificial intelligence Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar. Perlis. Nondestructive detection method is vital in quality, safety and integrity assurance during fruits and vegetables post harvest. X-ray imaging technology has been proven to be one of the successful nondestructive methods ever to be applied in detecting diseases and defects in agricultural products. In this research, infested Harum Manis mango fruits detection and quality classification will be done by integrating X-ray imaging techniques and Artificial Immune Systems (AIS). The classification is made by applying the AIS self and nonself recognition process unto the Harum Manis mango X-ray images. The output of this study is the proposed automatic nondestructive classification system of Harum Manis mango. 2009-09-03T03:32:34Z 2009-09-03T03:32:34Z 2005-05-14 Working Paper p.37-41 http://hdl.handle.net/123456789/7136 en Proceedings of the 1st International Workshop on Artificial Life and Robotics (2005) Kolej Universiti Kejuruteraan Utara Malaysia
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Artificial Immune systems
Nondestructive detection method
Self and nonself recognition
Chemical detectors
Nondestructive testing
X-ray imaging technology
Imaging systems
Artificial intelligence
spellingShingle Artificial Immune systems
Nondestructive detection method
Self and nonself recognition
Chemical detectors
Nondestructive testing
X-ray imaging technology
Imaging systems
Artificial intelligence
Puteh, Saad
Hasnah, Ahmad
Yasmin, Yacob
Rafikha Aliana, A. Raof
Sabarina, Ismail
Automatic classification of Weevil-Infested Harum Manis mangoes using Artificial Immune Systems approach
description Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar. Perlis.
format Working Paper
author Puteh, Saad
Hasnah, Ahmad
Yasmin, Yacob
Rafikha Aliana, A. Raof
Sabarina, Ismail
author_facet Puteh, Saad
Hasnah, Ahmad
Yasmin, Yacob
Rafikha Aliana, A. Raof
Sabarina, Ismail
author_sort Puteh, Saad
title Automatic classification of Weevil-Infested Harum Manis mangoes using Artificial Immune Systems approach
title_short Automatic classification of Weevil-Infested Harum Manis mangoes using Artificial Immune Systems approach
title_full Automatic classification of Weevil-Infested Harum Manis mangoes using Artificial Immune Systems approach
title_fullStr Automatic classification of Weevil-Infested Harum Manis mangoes using Artificial Immune Systems approach
title_full_unstemmed Automatic classification of Weevil-Infested Harum Manis mangoes using Artificial Immune Systems approach
title_sort automatic classification of weevil-infested harum manis mangoes using artificial immune systems approach
publisher Kolej Universiti Kejuruteraan Utara Malaysia
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7136
_version_ 1643788699472756736
score 13.214268