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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
2013
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| 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 |
| _version_ | 1848846108883681280 |
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| author | Mohamed Shariff, Abd Rashid Mahmud, Ahmad Rodzi Aouache, Mustapha |
| author_facet | Mohamed Shariff, Abd Rashid Mahmud, Ahmad Rodzi Aouache, Mustapha |
| author_sort | Mohamed Shariff, Abd Rashid |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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 the ripeness of oil palm fruits, was measured with the aid of a FieldSpec 3 Hi-Res spectroradiometer in the wavelength range of 400 nm to 1000 nm. The results were then compared with the classifications made by a trained human grader. |
| first_indexed | 2025-11-15T08:57:28Z |
| format | Article |
| id | upm-28408 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T08:57:28Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-284082015-10-08T06:35:40Z http://psasir.upm.edu.my/id/eprint/28408/ Oil Plam Fruit Classification Using Spectrometer. Mohamed Shariff, Abd Rashid Mahmud, Ahmad Rodzi Aouache, Mustapha 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 the ripeness of oil palm fruits, was measured with the aid of a FieldSpec 3 Hi-Res spectroradiometer in the wavelength range of 400 nm to 1000 nm. The results were then compared with the classifications made by a trained human grader. 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28408/1/Oil%20Plam%20Fruit%20Classification%20Using%20Spectrometer.pdf Mohamed Shariff, Abd Rashid and Mahmud, Ahmad Rodzi and Aouache, Mustapha (2013) Oil Plam Fruit Classification Using Spectrometer. Advanced Science Letters, 19 (9). pp. 2651-2653. ISSN 1936-6612 10.1166/asl.2013.5004 English |
| spellingShingle | Mohamed Shariff, Abd Rashid Mahmud, Ahmad Rodzi Aouache, Mustapha Oil Plam Fruit Classification Using Spectrometer. |
| title | Oil Plam Fruit Classification Using Spectrometer. |
| title_full | Oil Plam Fruit Classification Using Spectrometer. |
| title_fullStr | Oil Plam Fruit Classification Using Spectrometer. |
| title_full_unstemmed | Oil Plam Fruit Classification Using Spectrometer. |
| title_short | Oil Plam Fruit Classification Using Spectrometer. |
| title_sort | oil plam fruit classification using spectrometer. |
| url | http://psasir.upm.edu.my/id/eprint/28408/ http://psasir.upm.edu.my/id/eprint/28408/ http://psasir.upm.edu.my/id/eprint/28408/1/Oil%20Plam%20Fruit%20Classification%20Using%20Spectrometer.pdf |