Pepper berries grading using artificial neural networks

Abdelhamid Abdesselam, Rahmat Choo Abdullah

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

13 Citations (Scopus)

Abstract

Information technology solutions to an industrial application on grading of pepper berries were presented. It was possible to enhance quality control of the pepper samples through the use of image processing and Artificial Neural Network (ANN). The performance of feedforward back propagation (FFBP) and ANN with suitable parameter settings were demonstrated.

Original languageEnglish
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2
Publication statusPublished - 2000
Event2000 TENCON Proceedings - Kuala Lumpur, Malaysia
Duration: Sep 24 2000Sep 27 2000

Other

Other2000 TENCON Proceedings
CityKuala Lumpur, Malaysia
Period9/24/009/27/00

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Abdesselam, A., & Abdullah, R. C. (2000). Pepper berries grading using artificial neural networks. In IEEE Region 10 Annual International Conference, Proceedings/TENCON (Vol. 2)