Title: Grading of Carabao Mango Using Image Processing

Year of Publication: Feb - 2015
Page Numbers: 10-15
Authors: Lorena C. Ilagan, Jerry V. Turingan, Alexiel K. Aranas, Emmanuelle D. Ignacio, Elbert C. Rasay
Conference Name: The Second International Conference on Electrical, Electronics, Computer Engineering and their Applications (EECEA2015)
- Philippines


Grading the Quality of the mango is usually handled physically which might not be accurate due to the judgement of a person. In this study, image processing using MATLABis proposed using Mandami-Fuzzy Interference System. The Mango is placed on chamber to help the camera in collecting the Red-Green-Blue (RGB) data and the spot data of the program. This wooden rectangular chamber includes three LED flashlights and the camera. The results showed that Red mean value less than or equal to 155 are acceptable. The blemishes and maturity of the mango is then analysed based in the white spots from the image andred means of the image. The paper also includes size detection using boundary tracing and spot detection using the region props function. The results show that the program is accurate enough to grade the mango. The system is strict enough to reject the sample mango if it is too large, is too small, is yellow or is blemished.