• DocumentCode
    3706716
  • Title

    Automated machine for sorting Sarawak pepper berries

  • Author

    A.H. Fauzi;D.N.F. Awang Iskandar;M. Alif A. Suhaimi

  • Author_Institution
    Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    White pepper berries is one of the Malaysia´s key export as it is categorised as high valued commodity product. At present, processed white pepper berries are graded semi-automatically. This process is time consuming as it dependent on the experience of the pepper grader. In this paper we present a solution for Sarawak White Pepper grading using a combination of image processing technique and robotic solutions to sort pepper berries into their respective grades. In particular, we present the result of using different colour sensors. With the automated sorting machine, more high grades pepper berries are able to be sorted; this means more income to the smallholders, which are the local pepper farmers.
  • Keywords
    "Sensors","Image color analysis","Sorting","Color","Software","Hardware","Testing"
  • Publisher
    ieee
  • Conference_Titel
    IT in Asia (CITA), 2015 9th International Conference on
  • Type

    conf

  • DOI
    10.1109/CITA.2015.7349840
  • Filename
    7349840