Quality assessment of oil palm fresh fruit bunches using backscattering imaging

Abdul Hamid, Ahmad Shahid (2019) Quality assessment of oil palm fresh fruit bunches using backscattering imaging. [Project Paper] (Submitted)

Text lp FK 2019 46.pdf Download (2MB)

Abstract

Oil palm one of the important crop in Malaysia by which grading process still conducted using manual and laborious methods. This project investigate the potential of laser light backscattering imaging (BSI) for predicting and classifying oil palm fresh fruit bunches (FFB) at different maturity level. In this study, oil palm at various maturity levels from unripe, ripe and over ripe were acquired by charge couple device (CCD) camera combined with a laser diodes emitting light at wavelengths of 658 nm and 780 nm. The grey level intensity and the size of the backscattering area were extracted from the backscattering images and used as parameters for estimating the quality properties of the oil palm that measured using conventional method. The results of data analysis indicated strong correlations between the BSI parameters and oil palm properties with coefficient of correlation (R²) over 0.50. Thus, it can be concluded that the BSI could potentially be used for predicting and classifying the maturity level of oil palm.

Item Type:	Project Paper
Faculty:	Faculty of Engineering
Depositing User:	Ms Siti Mariam Giman
Date Deposited:	16 Nov 2022 08:07
Last Modified:	16 Nov 2022 08:07
URI:	http://psaspb.upm.edu.my/id/eprint/514

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