Durio Zibethinus Ripeness Determination and Variety Identification Using Principal Component Analysis and Support Vector Machine

被引：1

作者：

Balbin, Jessie R. ^{[1
]}

Alday, Judy Ann I. ^{[1
]}

Aquino, Charmine O. ^{[1
]}

Quintana, Mae Flor G. ^{[1
]}

机构：

[1] Mapua Univ, Manila 1002, Philippines

来源：

TENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2018) | 2019年 / 11069卷

关键词：

Durian; Principal Component Analysis; Support Vector Machine;

D O I：

10.1117/12.2524286

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The purpose of this paper is to determine the ripeness level and identify the variety of the Durian fruit through image processing using Principal Component Analysis (PCA) and Support Vector Machine (SVM) algorithms. The ripeness level is classified into three stages: unripe, ripe, and overripe. There are numerous varieties of durian available in the Philippines, and this study specifically uses Puyat, Arancillo, Cob, Davao Selection and UPLB Gold varieties. The study used 100 durian fruits, 80% of which were used for data training while the 20% were used for data testing. The study yields 95% overall accuracy and 5% misclassification rate.

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页数：6

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