@inproceedings{b5c031dbc9f1414297ad236996e873b5,
title = "Date fruit sorting using appearance-based information and neural network classifier",
abstract = "This paper presents a new two-step system for automatically sorting date fruit in four categories which are big 'Sukkari' dates, defective big 'Sukkari' dates, small 'Sukkari' dates and 'Khalas' dates. In the first step, we used the Principal Component Analysis tool for feature extraction and data dimensionality reduction. Then, the obtained features were injected in a modified Back-Propagation-based Neural Network to be classified. Four tests were made upon a locally made database of date images, and obtained results varied between 96 and 100% accuracy.",
keywords = "Date fruit, Neural network, Principal component analysis",
author = "H. Bouchech and S. Foufou and L. Khriji",
note = "Publisher Copyright: {\textcopyright} 2014, International Society for Horticultural Science. All rights reserved.",
year = "2014",
month = oct,
day = "22",
doi = "10.17660/ActaHortic.2014.1054.32",
language = "English (US)",
series = "Acta Horticulturae",
publisher = "International Society for Horticultural Science",
pages = "271--278",
editor = "H. Jayasuriya and Y.A. Al-Mulla and M. Ahmed",
booktitle = "International Conference on Agricultural Engineering",
address = "Belgium",
}