DOI : https://doi.org/10.18517/ijaseit.5.3.534

Optical Characteristics of Oil Palm Fresh Fruits Bunch (FFB) Under Three Spectrum Regions Influence for Harvest Decision

Cherie Dinah (1), Herodian Sam (2), Ahmad Usman (3), Mandang Tineke (4), Muhammad Makky (5)
(1) Dept of Agricultural Engineering, Faculty of Agric. Tech., Andalas University, Padang 25163, West Sumatera, Indonesia.
(2) Dept of Agricultural Engineering and Biosystems, Faculty of Agric. Tech., Bogor Agricultural University, Bogor 16680, West Java, Indonesia.
(3) Dept of Agricultural Engineering and Biosystems, Faculty of Agric. Tech., Bogor Agricultural University, Bogor 16680, West Java, Indonesia.
(4) Dept of Agricultural Engineering and Biosystems, Faculty of Agric. Tech., Bogor Agricultural University, Bogor 16680, West Java, Indonesia.
(5) Dept of Agricultural Engineering, Faculty of Agric. Tech., Andalas University, Padang 25163, West Sumatera, Indonesia
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How to cite (IJASEIT) :
Dinah, Cherie, et al. “Optical Characteristics of Oil Palm Fresh Fruits Bunch (FFB) Under Three Spectrum Regions Influence for Harvest Decision”. International Journal on Advanced Science, Engineering and Information Technology, vol. 5, no. 3, June 2015, pp. 255-63, doi:10.18517/ijaseit.5.3.534.
Citation Format :
In current practice, appearance was used to determine ripeness for oil palm fresh fruits bunch (FFB), that accompanied by detachment of fruit-lets from the bunch. The FFB from marihat clone harvested at five ripeness stages, under ripeness (F0), ripeness (F1, F2, F3), and over ripeness (F4). At every ripeness stages, differences of oil content and pigment accumulation were observed on the bunch. All samples recorded using a digital camera (10 Mpixel) from 2, 7, 10, and 15 meter distance, simulating variation of light intensity upon recording. During image recording, three lighting were used, namely ultraviolet lamp (320-380 nm), visible light lamp (400-700 nm) and infrared lamp (720-1100 nm), all have similar power output of 600watt. Camera point of view was set to cover a square area of 12,5cm by 12,5cm of the frontal area of FFB, each picture produced has 3888 by 2952 pixel. Image processing software created to extract digital RGB information from the images, and displayed the information in histogram. From the experiment, it was observed that the changes of intensity influence the RGB value of recorded image with reverse correlation, and longer wave light spectrum produce smaller RGB value.  The correlation model among image recording distance and RGB of the image display similar nature.  From three color channels, G represents better correlation for sample’s oil content determination.  Using UV and visible lighting, the FFB samples may be determined for harvest decision, up to seven meter observation distance.

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