Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394988
Title: Weed classification using decision tree
Authors: Asnor Juraiza lshak
Nooritawati Md Tahir
Aini Hussain
Mohd Marzuki Mustafa
Conference Name: International Symposium on Information Technology
Keywords: Weed classification
Conference Date: 26/08/2008
Conference Location: Kuala Lumpur Convention Centre
Abstract: In this paper, the potential of Decision Tree specifically the CART algorithm for classification of weed into two categories namely broad and narrow is employed. Six feature vectors extracted via the Gabor wavelet along with the FFT technique serves as the CART inputs. Based on accuracy rate achieved and selection of optimal feature vectors, the CART algorithm is apt as classifier for weed recognition.
Pages: 5
Call Number: T58.5.C634 2008 kat sem j.2
Publisher: Institute of Electrical and Electronics Engineers (IEEE),Piscataway, US
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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