DocumentCode
476754
Title
Weed classification using Decision Tree
Author
Ishak, Asnor Juraiza ; Tahir, Nooritawati Md ; Hussain, Aini ; Mustafa, Mohd Marzuki
Author_Institution
Dept. of Electrical, Electronics & System, Faculty of Engineering, Universiti Kebangsaan, Malaysia (UKM), Bangi, Selangor, Malaysia
Volume
2
fYear
2008
fDate
26-28 Aug. 2008
Firstpage
1
Lastpage
5
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.
Keywords
Agriculture; Classification tree analysis; Computer vision; Crops; Decision trees; Feature extraction; Frequency; Machine vision; Production; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location
Kuala Lumpur, Malaysia
Print_ISBN
978-1-4244-2327-9
Electronic_ISBN
978-1-4244-2328-6
Type
conf
DOI
10.1109/ITSIM.2008.4631714
Filename
4631714
Link To Document