Date Fruit Sorting Using Appearance-Based Information and Neural Network Classifier
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Date Fruit Sorting Using Appearance-Based Information and Neural Network Classifier |
| Type de publication | Conference Paper |
| Year of Publication | 2014 |
| Auteurs | Bouchech H., Foufou S., Khriji L. |
| Editor | AlMulla YA, Ahmed M, Jayasuriya H |
| Conference Name | INTERNATIONAL CONFERENCE ON AGRICULTURAL ENGINEERING: NEW TECHNOLOGIES FOR SUSTAINABLE AGRICULTURAL PRODUCTION AND FOOD SECURITY |
| Publisher | Int Soc Horticultural Sci |
| Conference Location | PO BOX 500, 3001 LEUVEN 1, BELGIUM |
| ISBN Number | 978-94-62610-45-3 |
| Mots-clés | date fruit, neural network, principal component analysis |
| Résumé | 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. |
| DOI | 10.17660/ActaHortic.2014.1054.32 |