Aristoteles, Aristoteles and W, Ossy Dwi Endah and Susanto, Dwi Image Processing for Save Life Predictions of Tomato Fruit using RGB Method. International Journal of Computer Applications, 81 (6). pp. 1-5. ISSN 0975 8887

aristoteles-Image Processing for Save Life Predictions of Tomato.pdf

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Tomatoes are agricultural commodities has the high consumption for Indonesian people. Tomato fruit shave different shape and color, the color of a tomato can characterize the level of maturity. This research has been determine the level of maturity of tomatoes based on the color. The simulcast tomatoes for counting levels of tomato color image using a digital camera. Image color of Tomato levels obtained by calculating the average value of RGB components of the tomatoes picture. The red color more than 60 percent (ripe) indicates shelf life 7-10 days, the red color more than 40 percent (half-ripe tomatoes) indicates shelf life 10-12 days, the red color more than 20 percent (half-unripe tomatoes) indicates shelf life 13-15 days, and the red color less than 20 percent (unripe tomatoes) over 15 days. This research shows the levels of red and green color affect the level ripeness of tomatoes. The higher the red colors and decreasing green color of fruit tomatoes indicate tomatoes more ripened. The position of tomatoes simulcast affect the level of accuracy, when tomatoes simulcast from the side reached accuracy 100 percent, while from the top reached 62.5 percent. Keywords: Clasifications, Image Processing, Maturity, Save, Tomato, RGB

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Ilmu Komputer
Depositing User: Aristoteles Aristoteles
Date Deposited: 06 Jan 2017 01:25
Last Modified: 06 Jan 2017 01:25

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