Banana quality attribute prediction and ripeness classification using support vector machine

• Main Authors: Adebayo, Segun Emmanuel, Hashim, Norhashila, Abdan, Khalina, Hanafi, Marsyita, Sasse, Manuela Zude
• Format: Article
• Language: English
• Published: The Berkeley Electronic Press 2017
• 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/

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...