Implementation of image processing technique in real time vision system for automatic weeding strategy

Mohd. Marzuki Mustafa, Aini Hussain, Kamarul Hawari Ghazali, Slamet Riyadi

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

4 Citations (Scopus)

Abstract

A weed can be thought of as any plant growing in the wrong place at the wrong time and doing more harm than good. Weeds compete with the crop for water, light, nutrients and space, and therefore reduce crop yields and also affect the efficient use of machinery. The most widely used method for weed control is to use agricultural chemicals (herbicides and fertilizer products). This heavy reliance on chemicals raises many environmental and economic concerns, causing many farmers to seek alternatives for weed control in order to reduce chemical use in farming. Since hand labor is costly, an automated weed control system may be economically feasible. A real-time precision automated weed control system could also reduce or eliminate the need for chemicals. In this research, an intelligent real-time automatic weed control system using image processing has been developed to identify and discriminate the weed types namely as narrow and broad. The core component of vision technology is the image processing to recognize type of weeds. Two techniques of image processing, GLCM and FFT have been used and compared to find the best solution of weed recognition for classification. The developed machine vision system consists of a mechanical structure which includes a sprayer, a Logitech web-digital camera, 12v motor coupled with a pump system and a small size CPU as a processor. Offline images and recorded video has been tested to the system and classification result of weed shows the successful rate is above 80%.

Original languageEnglish
Title of host publicationISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology
Pages632-635
Number of pages4
DOIs
Publication statusPublished - 2007
EventISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology - Cairo
Duration: 15 Dec 200718 Dec 2007

Other

OtherISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology
CityCairo
Period15/12/0718/12/07

Fingerprint

Weed control
Image processing
Control systems
Crops
Program processors
Agricultural chemicals
Herbicides
Digital cameras
Fertilizers
Fast Fourier transforms
Computer vision
Nutrients
Machinery
Computer systems
Pumps
Personnel
Economics
Water

Keywords

  • FFT
  • GLCM
  • Herbicide
  • Real time
  • Vision system
  • Weed

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Signal Processing

Cite this

Mustafa, M. M., Hussain, A., Ghazali, K. H., & Riyadi, S. (2007). Implementation of image processing technique in real time vision system for automatic weeding strategy. In ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology (pp. 632-635). [4458197] https://doi.org/10.1109/ISSPIT.2007.4458197

Implementation of image processing technique in real time vision system for automatic weeding strategy. / Mustafa, Mohd. Marzuki; Hussain, Aini; Ghazali, Kamarul Hawari; Riyadi, Slamet.

ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology. 2007. p. 632-635 4458197.

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

Mustafa, MM, Hussain, A, Ghazali, KH & Riyadi, S 2007, Implementation of image processing technique in real time vision system for automatic weeding strategy. in ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology., 4458197, pp. 632-635, ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology, Cairo, 15/12/07. https://doi.org/10.1109/ISSPIT.2007.4458197
Mustafa MM, Hussain A, Ghazali KH, Riyadi S. Implementation of image processing technique in real time vision system for automatic weeding strategy. In ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology. 2007. p. 632-635. 4458197 https://doi.org/10.1109/ISSPIT.2007.4458197
Mustafa, Mohd. Marzuki ; Hussain, Aini ; Ghazali, Kamarul Hawari ; Riyadi, Slamet. / Implementation of image processing technique in real time vision system for automatic weeding strategy. ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology. 2007. pp. 632-635
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