Agricultural produce sorting and grading using support vector machines and fuzzy logic

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

25 Citations (Scopus)

Abstract

Agriculture sector was accorded a very different treatment in the Ninth Malaysia Plan (9MP) where this sector is being revitalized to become a part of the economic growth engine. The Information and Communication Technology (ICT) application is going to be implemented as a solution in improving the status of the agriculture sector. The idea of integrating ICT with agriculture sector motivates the development of an automated system for sorting and grading of agriculture produce. Currently, the grading is done based on observations and through experience. The developed system starts the grading process by capturing the fruit's image using a regular digital camera or mobile phone camera. Then, the image is transmitted to the processing level where feature extraction, classification and grading is done using MATLAB. In this paper, the focus is more on agricultural produce Sorting and Grading technique. The agricultural produce is classified based on fruit shape and size using Support Vector Machines (SVMs) and its grade is determined using Fuzzy Logic (FL) approach. The results obtained are very promising.

Original languageEnglish
Title of host publicationICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
Pages391-396
Number of pages6
DOIs
Publication statusPublished - 01 Dec 2009
Event2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 - Kuala Lumpur, Malaysia
Duration: 18 Nov 200919 Nov 2009

Publication series

NameICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings

Other

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

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Ahmad Mustafa, N. B., Khaleel Ahmed, S., Ali, Z., Yit, W. B., Zainul Abidin, A. A., & Md Sharrif, Z. A. (2009). Agricultural produce sorting and grading using support vector machines and fuzzy logic. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings (pp. 391-396). [5478684] (ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings). https://doi.org/10.1109/ICSIPA.2009.5478684