Universiti Teknologi Malaysia Institutional Repository

Non-Destructive Oil Palm Fresh Fruit Bunch (FFB) grading technique using optical sensor

Utom, S. L. and Mohamad, E. J. and Ameran, H. L. M. and Kadir, H. A. and Muji, S. Z. M. and Rahim, R. A. and Pusppanathan, J. (2018) Non-Destructive Oil Palm Fresh Fruit Bunch (FFB) grading technique using optical sensor. International Journal of Integrated Engineering, 10 (1). pp. 35-39. ISSN 2229-838X

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Official URL: http://dx.doi.org/10.30880/ijie.2018.10.01.006

Abstract

This research discovers the uniqueness of physical and optical characteristics of the oil palm Fresh Fruit Bunches (FFB). The goal is to determine the level of ripeness of the oil palm FFB by creating a non-destructive and real-time oil palm FFB grading system. This grading system is a solution to automate the current grading process in order to provide more accurate and reliable results. Apart from that, the costs, labor and time consume will also be reduced. In Malaysia, the grading of oil palm FFB is still performed manually by observing the surface color as the main quality attribute. This project explores the chlorophyll content in oil palm and uses its characteristic as a level selector to classify the degree of oil palm FFB ripeness. In this case, the level of ripeness are divided into three categories which are unripe, ripe and over-ripe. There are several phases involve in the non-destructive oil palm FFB grading system using optical sensor. First phase is the determination of reflectance data for all three classes of the oil palm FFB. This will be determined by using a light source with 670 nm wavelength. The light sources will emit a projection of light that will illuminate the skin of the oil palm FFB. The reflected light will be received by the optical sensor and the reflectance value are obtained. Last phase is the analysis of the data obtained by using statistical analysis. The expected outcome of this project is to study and understand the process of using LED and optical sensor as the data collecting method to determine the level of ripeness of the oil palm FFB.

Item Type:Article
Uncontrolled Keywords:chlorophyll, optical sensor, over-ripe, ripe, under-ripe
Subjects:Q Science > QH Natural history
Divisions:Biosciences and Medical Engineering
ID Code:79935
Deposited By: Narimah Nawil
Deposited On:28 Jan 2019 15:02
Last Modified:28 Jan 2019 15:02

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