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
Link To Document