Separation of the Mature Level of Papaya Callina Fruit Automatically Based on Color (RGB) uses Digital Image Processing

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Abstract

The process of sorting papaya fruit based on quality is one of the processes that greatly determines the quality of papaya fruit that will be sold to consumers. The process of identifying the quality of fruits using the human eye has the disadvantages of requiring more energy to sort, the level of human perception in terms of different fruit sorting, the level of human consistency in assessing fruit quality is also unstable because humans can experience fatigue. Research on fruit using image processing is the current trend, especially for fruit conditions, both qualities weight and size because this system processes faster and avoids or reduces failures that occur as a result of human nature. The process of selecting the level of fruit maturity in the process of recognition and determination and classification of post-harvest agricultural products on papaya fruit, depends on how the system is built. This study aims to build a quality recognition system for papaya fruits using Digital Image Processing technology, to analyze the level of color values (RGB), to determine the maturity level of papaya-callina fruit, so that later can be used as a reference in determining the maturity level of papaya fruit. First, the image of papaya is taken, or the acquisition uses a camera to be used as a database based on the condition of its maturity level. Second, the separation of the fruit image with the background based on the pixels, calculating the pixel value looking for the mean value, min, the max that is used later in the reference in determining the fruit maturity condition: young ripe, the half mature, mature. The results of this study provide information about pixel data in which young ripe papaya, red value does not dominate that is 7.785495, the green value becomes the highest value of 10.23922, papaya the half mature, it can be seen that the red and green composition of the pixel value is almost the same, namely 12.56288 and 12.12431, while the fully mature condition of the papaya, average red pixel value becomes more dominant when compared to green, which is 24,111901 for red and 13,70812 for green.

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APA

Simbolon, Z. K., Syakry, S. A., Mulyadi, & Syahroni, M. (2019). Separation of the Mature Level of Papaya Callina Fruit Automatically Based on Color (RGB) uses Digital Image Processing. In IOP Conference Series: Materials Science and Engineering (Vol. 536). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/536/1/012127

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