Open AccessCitrus Classification and Grading Using Machine Learning Algorithms
Author(s) -
D. Sugumar,
V Harshavarthan,
S Kavisri,
Aezhisai Vallavi Muthusamy Subramanian,
Vanathi P.T
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9349.0881019
Subject(s) - sort , artificial intelligence , grayscale , sorting , computer science , image processing , computer vision , mathematics , pattern recognition (psychology) , image (mathematics) , algorithm , arithmetic
Sorting of fruit into different grade is essential to fetch high price in the market. The fruits are graded based on height, size, area and weight. Each and every fruit changes the skin’s color in their life span. Hence, it is appropriate to grade them by processing color images of them and then applying estimation or recognition techniques on those images. Citrus (plant) grows even in temperature lands and it does not penetrate its root too deep. It is a precious commodity and used for various day to day activities. In this paper, Machine vision technique is used to sort citrus based on variety and quality. Primarily, the image is captured by a camera, placed at a particular distance. Then captured citrus image is classified into different categories, based on their color, size and quality. During the processing, the attributes are determined based on their defects in the surface of the citrus. Finally, the quality and breed are determined based on the three-color planes of color image and gray scale image respectively