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
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;
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
DOI :
10.1109/ITSIM.2008.4631714
