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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/7136

Title: Automatic classification of Weevil-Infested Harum Manis mangoes using Artificial Immune Systems approach
Authors: Puteh, Saad
Hasnah, Ahmad
Yasmin, Yacob
Rafikha Aliana, A. Raof
Sabarina, Ismail
Keywords: Artificial Immune systems;Nondestructive detection method;Self and nonself recognition;Chemical detectors;Nondestructive testing;X-ray imaging technology;Imaging systems;Artificial intelligence
Issue Date: 14-May-2005
Publisher: Kolej Universiti Kejuruteraan Utara Malaysia
Citation: p.37-41
Series/Report no.: Proceedings of the 1st International Workshop on Artificial Life and Robotics (2005)
Abstract: 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.
Description: Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar. Perlis.
URI: http://hdl.handle.net/123456789/7136
Appears in Collections:Conference Papers

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