Artificial intelligence machine vision grading system

dc.contributor.advisor	Hertzog, P.E.
dc.contributor.author	Luwes, Nicolaas Johannes
dc.contributor.other	Central University of Technology, Free State. Faculty of Engineering, Information and Communication Technology. School of Electrical and Computer Systems Engineering
dc.date.accessioned	2014-03-13T23:43:07Z
dc.date.available	2014-03-13T23:43:07Z
dc.date.issued	[2010?]
dc.identifier.uri	http://hdl.handle.net/11462/35
dc.description	Thesis (M. Tech.) -- Central University of Technology, Free State, 2010	en_US
dc.format.extent	7188076 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en	en_US
dc.publisher	Bloemfontein : Central University of Technology, Free State
dc.subject	Central University of Technology, Free State - Dissertations	en_US
dc.subject	Vegetables - Grading	en_US
dc.subject	Fruit grading machinery	en_US
dc.subject	Artificial intelligence	en_US
dc.subject	Artificial intelligence - Data processing	en_US
dc.subject	Image processing - Digital techniques	en_US
dc.subject	Computer vision	en_US
dc.subject	Dissertations, academic - South Africa - Bloemfontein	en_US
dc.title	Artificial intelligence machine vision grading system	en_US
dc.type	Thesis	en_US
dc.rights.holder	Central University of Technology, Free State