Open AccessFruit Grading of Garcinia Binucao (Batuan) using Image Processing
Author(s) -
Sammy V. Militante
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1028.078219
Subject(s) - grading (engineering) , gradation , image processing , artificial intelligence , computer science , engineering , image (mathematics) , civil engineering
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%.