Pepper berries grading using artificial neural networks

Abdelhamid Abdesselam*, Rahmat Choo Abdullah

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

14 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
PagesII-153-II-159
Publication statusPublished - 2000
Externally publishedYes
Event2000 TENCON Proceedings - Kuala Lumpur, Malaysia
Duration: Sept 24 2000Sept 27 2000

Other

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

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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