Fruit Grading of Garcinia Binucao (Batuan) using Image Processing
Sammy V. Militante
Sammy V. Militante, College of Engineering and Architecture, University of Antique, Philippines.
Manuscript received on 02 March 2019 | Revised Manuscript received on 06 March 2019 | Manuscript published on 30 July 2019 | PP: 1828-1832 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1028078219/19©BEIESP | DOI: 10.35940/ijrte.B1028.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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%.
Index Terms: Fruit Grading, Image Processing, Classification, OpenCV
Scope of the Article: Classification