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dc.contributor.authorAli Yeon, Mohd Shakaff, Prof. Dr. (Principal)
dc.contributor.authorMohd Noor, Ahmad, Prof. Dr.
dc.contributor.authorMohamed Zulkali, Mohamed Daud, Prof. Madya Dr.
dc.contributor.authorAbdul Hamid, Adom, Prof. Madya Dr.
dc.contributor.authorAbu Hassan, Abdullah
dc.contributor.authorFarizul Hafiz, Kasim
dc.contributor.authorAhmad Faizal
dc.contributor.authorShah Fenner Khan
dc.contributor.authorAnas, Mohd Noor
dc.contributor.authorNorahim, Ibrahim
dc.contributor.authorNoor Hasyierah, Mohd Salleh
dc.contributor.authorMarni Azira, Markom
dc.date.accessioned2010-07-14T03:33:09Z
dc.date.available2010-07-14T03:33:09Z
dc.date.issued2007-06-06
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/8279
dc.descriptionProf. 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.en_US
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherINPEXen_US
dc.relation.ispartofseriesInvention and New Products Exposition (INPEX) 2007en_US
dc.subjectOil palmen_US
dc.subjectGanoBusteren_US
dc.subjectBasal stem rot (BST)en_US
dc.subjectUniMAP -- Researchen_US
dc.subjectUniMAP -- Exhibitionen_US
dc.subjectInvention and New Products Exposition 2007en_US
dc.subjectINPEX 2007en_US
dc.titleGanobuster: Novel, Easy, and Clean Basal Stem Rot Detection System of the Palm Oil Trunken_US
dc.typeImageen_US


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