A NOVEL TECHNOLOGY APPLICATION IN AGRICULTURE RESEARCH

A NOVEL TECHNOLOGY APPLICATION IN AGRICULTURE RESEARCH

Journal

Subject and more

  • LCC Subject Category: Public Health and Community Medicine
  • Publisher's keywords: Camera vision technology, Non-destructive method, Oil palm fresh fruit bunches Maturity prediction
  • Language of fulltext: english
  • Full-text formats available: PDF
  • Time From Submission to Publication: 8

AUTHORS

    MOHD. HUDZARI HAJI RAZALI| Faculty of Agriculture and Biotechnology, UniSZA, 21300, Kuala Terengganu, Malaysia

FULL TEXT

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ABSTRACT

This study introduced the application of novel technology namely camera vision system for detection and classified the maturity stage of oil palm fresh fruit bunches (FFB). Normally FFB are classified into six categories; black, hard, ripe and overripe. However, for initial study, three types of FFB were used; ripe, unripe and overripe. A camera vision system developed in this research is made up of two critical components. The first component is the hardware component that functions as an image acquisitioned for the system. The second component is the software part which analyzes the image captured by the hardware component. The system made prediction of FFB’s maturity by processing the image captured. The main hardware system in this study is a digital camera to capture the image of the sample oil palm fruits and a light meter to detect intensity of the light. Sample pictures were taken in an oil palm plantation at Malaysia Palm Oil Board (MPOB) Bangi Lama Selangor, Malaysia. Oil palm FFB maturity prediction in this research was done by determining the Hue values of oil palm at different stage of maturity. The prediction was also made on the relationship between Hue and oil content in the fruit.

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