@article{(Open Science Index):https://publications.waset.org/pdf/2157,
	  title     = {Machine Vision System for Automatic Weeding Strategy in Oil Palm Plantation using Image Filtering Technique},
	  author    = {Kamarul Hawari Ghazali and  Mohd. Marzuki Mustafa and  Aini Hussain},
	  country	= {},
	  institution	= {},
	  abstract     = {Machine vision is an application of computer vision to automate conventional work in industry, manufacturing or any other
field. Nowadays, people in agriculture industry have embarked into research on implementation of engineering technology in their farming activities. One of the precision farming activities that involve machine vision system is automatic weeding strategy. Automatic weeding strategy in oil palm plantation could minimize
the volume of herbicides that is sprayed to the fields. This paper discusses an automatic weeding strategy in oil palm plantation using machine vision system for the detection and differential spraying of weeds. The implementation of vision system involved the used of
image processing technique to analyze weed images in order to recognized and distinguished its types. Image filtering technique has
been used to process the images as well as a feature extraction method to classify the type of weed images. As a result, the image processing technique contributes a promising result of classification to be implemented in machine vision system for automated weeding strategy.},
	    journal   = {International Journal of Aerospace and Mechanical Engineering},
	  volume    = {2},
	  number    = {5},
	  year      = {2008},
	  pages     = {61 - 65},
	  ee        = {https://publications.waset.org/pdf/2157},
	  url   	= {https://publications.waset.org/vol/17},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 17, 2008},
	}