Weed detection utilizing quadratic polynomial and ROI techniques

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

5 Citations (Scopus)

Abstract

Machine vision for selective weeding or selective herbicide spraying relies substantially on the ability of the system to analyze weed images and process the extracted knowledge for decision making prior to implementing the identified control action. To control weed, different weed type would require different herbicide formulation. Consequently the weed must be identified and classified accordingly. In this work, weed images were classified as either broad or narrow weed type. A fundamental problem in weed image recognition using planar curve analysis is to detect curve. It is difficult to successfully extract curve from the image of weed edges since the appropriate scale to use for extraction is not known a priori As such, this paper considers a curve detection method based on the quadratic polynomial technique which include the use of the region-of-interests (ROI) technique. The ROI technique creates image subsets by selecting regions of the displayed image. The ROIs are typically used to extract statistics for image operations such as classification. As such, the objective of this paper is to present a novel application of curve detection feature extraction technique in weed classification.

Original languageEnglish
Title of host publication2007 5th Student Conference on Research and Development, SCORED
DOIs
Publication statusPublished - 2007
Event2007 5th Student Conference on Research and Development, SCORED - Selangor
Duration: 11 Dec 200712 Dec 2007

Other

Other2007 5th Student Conference on Research and Development, SCORED
CitySelangor
Period11/12/0712/12/07

Fingerprint

Polynomials
Weeds
statistics
decision making
ability
Statistics
Decision making
Feature extraction
Machine vision

Keywords

  • Feature extraction
  • Neural network
  • Pattern recognition
  • Plant identification
  • Region of interest

ASJC Scopus subject areas

  • Education
  • Management Science and Operations Research

Cite this

Weed detection utilizing quadratic polynomial and ROI techniques. / Ishak, Asnor Juraiza; Mokri, Siti Salasiah; Mustafa, Mohd. Marzuki; Hussain, Aini.

2007 5th Student Conference on Research and Development, SCORED. 2007. 4451360.

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

Ishak, AJ, Mokri, SS, Mustafa, MM & Hussain, A 2007, Weed detection utilizing quadratic polynomial and ROI techniques. in 2007 5th Student Conference on Research and Development, SCORED., 4451360, 2007 5th Student Conference on Research and Development, SCORED, Selangor, 11/12/07. https://doi.org/10.1109/SCORED.2007.4451360
Ishak AJ, Mokri SS, Mustafa MM, Hussain A. Weed detection utilizing quadratic polynomial and ROI techniques. In 2007 5th Student Conference on Research and Development, SCORED. 2007. 4451360 https://doi.org/10.1109/SCORED.2007.4451360
Ishak, Asnor Juraiza ; Mokri, Siti Salasiah ; Mustafa, Mohd. Marzuki ; Hussain, Aini. / Weed detection utilizing quadratic polynomial and ROI techniques. 2007 5th Student Conference on Research and Development, SCORED. 2007.
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