Oil Plam Fruit Classification Using Spectrometer.

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Oil Plam Fruit Classification Using Spectrometer.

Artificial neural network and linear discriminant analysis were used to detect the ripeness of oil palm fruit bunches. The proposed classification scheme categorized the oil palm fruits into three classes, namely, overripe, ripe, and under-ripe. Fruit color, presumed to be an important indicator of...

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Bibliographic Details
Main Authors:	Mohamed Shariff, Abd Rashid, Mahmud, Ahmad Rodzi, Aouache, Mustapha
Format:	Article
Language:	English English
Published:	2013
Online Access:	http://psasir.upm.edu.my/id/eprint/28408/ http://psasir.upm.edu.my/id/eprint/28408/1/Oil%20Plam%20Fruit%20Classification%20Using%20Spectrometer.pdf

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