A NOVEL TECHNOLOGY APPLICATION IN AGRICULTURE RESEARCH
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2011, Vol 2, Issue 11
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.
Authors and Affiliations
MOHD. HUDZARI HAJI RAZALI| Faculty of Agriculture and Biotechnology, UniSZA, 21300, Kuala Terengganu, Malaysia
Keywords
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