CD Skripsi
Analisa Keragaman Warna Tandan Buah Segar (Tbs) Kelapa Sawit Menggunakan Computer Vision Dan Colorimeter
The computer vision method using imageJ software and measurement using colorimeter has been used to find the RGB value of oil palm FFB. This study aims to determine the level of color maturity and uniformity of oil palm FFB using RGB values. The system used consists of RGB cameras, computers, imageJ software, lights and oil palm FFB samples. Measurements using a colorimeter to find RGB values. The sample used was oil palm FFB Tenera variety with four maturity levels F0, F1 (raw), F2, F3 (mature). The level of sample maturity is traditionally determined by harvesters with experience from UNRI's agrotechnology. TBS samples were given two treatments, which were recorded using an RGB camera and then processed using imageJ and measured using a colorimeter to obtain RGB values. The recording results and measurements show that the average RGB computer vision is higher than the colorimeter. There is a difference in RGB values that are quite large at F3 which is equal to 50.1%, while at F2 there is only a difference in value of 28.6% on the front side. On the right side, there is the highest difference at F3 which is equal to 50.1%, while the lowest at F2 only shows a difference in value of 28.6%. On the left side, at F3 the percentage difference reaches 55.8% and at F2 85.4%.
Keywords: Computer vision, colorimeter, RGB, imageJ.
Tidak tersedia versi lain