Pattern recognition system of jatropha curcas fruits using back propagation

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

3 Citations (Scopus)

Abstract

Jatropha curcas has been widely accepted as a favorite agricultural solution for all subtropical and tropical that can produce high quantity and quality feedstock for bio energy. Jatropha curcas oil as biodiesel feedstock has a bright prospective because it is categorized as non edible oil which the availability will not be threaten by food purposes. Traditional identification of Jatropha curcas fruits is performed by human experts. The Jatropha curcas fruit quality depends on type and size of defects as well as skin color and fruit size. This research develops a pattern recognition system to identify the Jatropha curcas fruit maturity and grade the fruit into relevant quality category. The system is divided into two stages: the first stage is a training stage that is to extract the characteristics from the pattern. The second stages is to recognize the pattern by using the characteristics derived from the first task. Back propagation diagnosis model is used to recognition the Jatropha curcas fruits. It is ascertained for the developed system is used in recognizing the maturity of Jatropha curcas fruits. This paper presents a pattern recognition system of Jatropha curcas using back propagation.

Original languageEnglish
Title of host publicationICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
Pages58-62
Number of pages5
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 - Kuala Lumpur
Duration: 18 Nov 200919 Nov 2009

Other

Other2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09
CityKuala Lumpur
Period18/11/0919/11/09

Fingerprint

Pattern recognition systems
Fruits
Backpropagation
Feedstocks
Biodiesel
Oils and fats
Skin
Availability
Color
Defects

Keywords

  • Jatropha curcas fruit
  • Neural network
  • Pattern recognition

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Effendi, Z., Ramli, R., A Ghani, J., & Ab Rahman, M. N. (2009). Pattern recognition system of jatropha curcas fruits using back propagation. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings (pp. 58-62). [5478719] https://doi.org/10.1109/ICSIPA.2009.5478719

Pattern recognition system of jatropha curcas fruits using back propagation. / Effendi, Z.; Ramli, Rizauddin; A Ghani, Jaharah; Ab Rahman, Mohd Nizam.

ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 58-62 5478719.

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

Effendi, Z, Ramli, R, A Ghani, J & Ab Rahman, MN 2009, Pattern recognition system of jatropha curcas fruits using back propagation. in ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings., 5478719, pp. 58-62, 2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09, Kuala Lumpur, 18/11/09. https://doi.org/10.1109/ICSIPA.2009.5478719
Effendi Z, Ramli R, A Ghani J, Ab Rahman MN. Pattern recognition system of jatropha curcas fruits using back propagation. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 58-62. 5478719 https://doi.org/10.1109/ICSIPA.2009.5478719
Effendi, Z. ; Ramli, Rizauddin ; A Ghani, Jaharah ; Ab Rahman, Mohd Nizam. / Pattern recognition system of jatropha curcas fruits using back propagation. ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. pp. 58-62
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