Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/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://dspace.unimap.edu.my/123456789/8279
Appears in Collections:Universiti Malaysia Perlis
Ali Yeon Md Shakaff, Dato' Prof. Dr.
Abdul Hamid Adom, Prof. Dr.
Shah Fenner Khan Mohamad Khan, Dr.
Abu Hassan Abdullah, Associate Prof. Ir. Ts. Dr.
Mohd Noor Ahmad, Prof. Dr.
Ahmad Faizal Salleh, Assoc. Prof. Ir. Dr.
Anas Mohd Noor

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