Machine vision system for automatic weeding strategy in oil palm plantation using image filtering technique

Kamarul Hawari Ghazali, Saifudin Razali, Mohd. Marzuki Mustafa, Aini Hussain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA
DOIs
Publication statusPublished - 2008
Event2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA - Damascus
Duration: 7 Apr 200811 Apr 2008

Other

Other2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA
CityDamascus
Period7/4/0811/4/08

Fingerprint

Palm oil
Computer vision
Image processing
manufacturing industry
Herbicides
Engineering technology
Spraying
Agriculture
agriculture
Feature extraction
engineering
Industry
industry

Keywords

  • Automatic Weeding Strategy
  • Component
  • Feature extraction
  • Filter
  • Machinve vision

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Communication

Cite this

Ghazali, K. H., Razali, S., Mustafa, M. M., & Hussain, A. (2008). Machine vision system for automatic weeding strategy in oil palm plantation using image filtering technique. In 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA [4530075] https://doi.org/10.1109/ICTTA.2008.4530075

Machine vision system for automatic weeding strategy in oil palm plantation using image filtering technique. / Ghazali, Kamarul Hawari; Razali, Saifudin; Mustafa, Mohd. Marzuki; Hussain, Aini.

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA. 2008. 4530075.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ghazali, KH, Razali, S, Mustafa, MM & Hussain, A 2008, Machine vision system for automatic weeding strategy in oil palm plantation using image filtering technique. in 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA., 4530075, 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA, Damascus, 7/4/08. https://doi.org/10.1109/ICTTA.2008.4530075
Ghazali KH, Razali S, Mustafa MM, Hussain A. Machine vision system for automatic weeding strategy in oil palm plantation using image filtering technique. In 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA. 2008. 4530075 https://doi.org/10.1109/ICTTA.2008.4530075
Ghazali, Kamarul Hawari ; Razali, Saifudin ; Mustafa, Mohd. Marzuki ; Hussain, Aini. / Machine vision system for automatic weeding strategy in oil palm plantation using image filtering technique. 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA. 2008.
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