Abstract
Digital image processing, along with computer vision techniques, can be applied for automatic gradation of batuan fruits based on the quality of the fruit. It can increase the commercial value of the production. This paper presents an automated approach for fruit grading of Batuan fruits. First, it detects the batuan fruit and then after detection, it classifies the grade of the batuan fruit - Immature (light green), Mature (green) or Ripe (yellow). For gradation, we have used the color features and area of the fruit. The average accuracy for batuan fruit grading is up to 98%.
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Management of Technology and Innovation,General Engineering
Cited by
7 articles.
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