Banana quality attribute prediction and ripeness classification using support vector machine
Five laser diodes of 532, 660, 785, 830 and 1060nm laser light back scattering imaging (LLBI) were employed for quality attribute prediction and ripening stage classification of banana. A support vector machine (SVM) was tested to establish the theoretical prediction and classification mod...
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Main Authors: | Adebayo, Segun Emmanuel, Hashim, Norhashila, Abdan, Khalina, Hanafi, Marsyita, Sasse, Manuela Zude |
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Format: | Article |
Language: | English |
Published: |
The Berkeley Electronic Press
2017
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Online Access: | http://psasir.upm.edu.my/id/eprint/60987/1/Banana%20quality%20attribute%20prediction%20and%20ripeness%20classification%20using%20support%20vector%20machine.pdf http://psasir.upm.edu.my/id/eprint/60987/ |
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