Non-Destructive Oil Palm Fresh Fruit Bunch (FFB) Grading Technique Using Optical Sensor

  • Sebastian Liban Utom Instrumentation and Sensing Technology Research Group (InSet), Faculty of Electrical & Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat
  • Elmy Johana Mohamad Instrumentation and Sensing Technology Research Group (InSet), Faculty of Electrical & Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat
  • Ruzairi Abdul Rahim Instrumentation and Sensing Technology Research Group (InSet), Faculty of Electrical & Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat
  • Noorfarahane Yeop Instrumentation and Sensing Technology Research Group (InSet), Faculty of Electrical & Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat
  • Hanis Liyana Mohmad Ameran Instrumentation and Sensing Technology Research Group (InSet), Faculty of Electrical & Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat
  • Herdawatie Abdul Kadir Department of Mechatronoc & Robotic Engineering, Faculty of Electrical & Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat
  • Siti Zarina Mohd Muji Faculty of Electrical & Electronics Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat
  • Jaysuman Pusppanathan Department of Biotechnology & Medical Engineering, Faculty of Biosciences & Medical Engineering, Universiti Teknologi Malaysia
Keywords: Chlorophyll, Under-Ripe, Ripe, Over-Ripe, Optical Sensor

Abstract

This research discover 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 systems. This grading system are 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 are still performed manually by observing the surface color as the main quality attribute. This project explore the chlorophyll content in oil palm and use 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 is 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 determine by using a light sources with 670 nm wavelength. The light sources will emitted 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 obtain. 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.

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Published
30-04-2018
How to Cite
Utom, S. L., Mohamad, E. J., Abdul Rahim, R., Yeop, N., Mohmad Ameran, H. L., Abdul Kadir, H., Mohd Muji, S. Z., & Pusppanathan, J. (2018). Non-Destructive Oil Palm Fresh Fruit Bunch (FFB) Grading Technique Using Optical Sensor. International Journal of Integrated Engineering, 10(1). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/1856
Section
Articles