A.H., Fauzi and D.N.F., Awang Iskandar and M. Alif, A. Suhaimi (2015) Automated Machine for Sorting Sarawak Pepper Berries. In: 9th International Conference on IT in Asia (CITA), 2015.
Automated Machine for Sorting (abstract).pdf
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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 semiautomatically. 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.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||grading; pepper; colour sensor; agro-informatics, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education|
|Subjects:||S Agriculture > S Agriculture (General)
T Technology > T Technology (General)
|Divisions:||Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology|
|Depositing User:||Karen Kornalius|
|Date Deposited:||10 Aug 2016 21:52|
|Last Modified:||14 Feb 2017 05:06|
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