Abstract:
FFB (Fresh Fruit Bunches) of oil palm is one of the indonesian commodities that
make it possible for Indonesia to be country of the largest CPO (Crude Palm Oil)
export in the world. Automatic detection oil palm FFB is very important in the
sorting and grading process. The detection of oil palm FFB can be based on color
parameters. This study aims to design a program to detect oil palm FFB using a
computer vision system with various of luminous. The system is equipped with a
webcam, light source and software. This program also to record images, process
images and classify them as detected oil palm FFB. Detector works based on the
of the HSV value, especially in saturation. Output in this process is forms contour
with a bounding box. The sample used in this study was 10 fruit FFB of tenera oil
palm varieties. The FFB image of oil palm was recorded using a webcam at an
angle of 90⁰. The results showed that the program's success in detecting oil palm
FFB in this system depended on luminous of the room because of application in
segmentaion color method Hue, Saturation, Value (HSV). The HSV program
success in detecting 8 of 10 oil palm FFB with boundaries area contour more
than 9000 pixels.
