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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/8279

Title: Ganobuster: Novel, Easy, and Clean Basal Stem Rot Detection System of the Palm Oil Trunk
Authors: Ali Yeon, Mohd Shakaff, Prof. Dr. (Principal)
Mohd Noor, Ahmad, Prof. Dr.
Mohamed Zulkali, Mohamed Daud, Prof. Madya Dr.
Abdul Hamid, Adom, Prof. Madya Dr.
Abu Hassan, Abdullah
Farizul Hafiz, Kasim
Ahmad Faizal
Shah Fenner Khan
Anas, Mohd Noor
Norahim, Ibrahim
Noor Hasyierah, Mohd Salleh
Marni Azira, Markom
Keywords: Oil palm;GanoBuster;Basal stem rot (BST);UniMAP -- Research;UniMAP -- Exhibition;Invention and New Products Exposition 2007;INPEX 2007
Issue Date: 6-Jun-2007
Publisher: INPEX
Series/Report no.: Invention and New Products Exposition (INPEX) 2007
Abstract: The technology incorporates multi-disciplinary inputs in which data captured through the use of versatile sensors are analyzed using artificial neural networks (ANN) to be translated and presented into profiles considered as Ganoderma spp. Fingerprint.
Description: Prof. Dr. Ali Yeon Mohd Shakaff and his team won silver for Ganobuster: Novel, Easy, and Clean Basal Stem Rot Detection System of the Palm Oil Trunk at INPEX USA, 6th - 9th June 2007 at Pittsburgh, PA USA.
URI: http://hdl.handle.net/123456789/8279
Appears in Collections:Mohd Noor, Ahmad, Profesor Dr.
Anas Mohd Noor
Ahmad Faizal Salleh, Dr.
Universiti Malaysia Perlis
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Hamid Adom, Prof. Dr.

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