CD Skripsi
Estimasi Volume Produk Agrikultur Menggunakan Teknik 3d Imaging Dan Laser Garis
Volume measurement of agricultural products is required for further sorting and
grading steps. The aim of this research was to develop a volume estimation system that
utilized 3D imaging and line laser. The samples of agricultural products used were
pineaple, watermelon, and pumpkin which were collected from local market. Each of
the fruit types consisted of two samples, and encoded as SMK-BLT and SMK-LJG for
watermelon, NNS-TBG and NNS-ELP for pineapple, LBU-KCL and LBU-BSR for
pumpkin. The length, width, and height of each sample then measured by manual
method and computational algorithm. Then, the volume of each sample were computed
using an elipsoid volume approximation. Images of each samples were captured by a
CMOS sensor which connected to a Raspberry Pi computer board through camera
sensor interface. Algorithm for computing the length, width, height, and volume of the
samples were developed using a Python programming language and OpenCV library.
Deviation lines on the captured image of the samples represent the depth information
or height. The developed computer program consists of algorithms for line
segmentation on the vertical and horizontal axis. Distance between each line deviation
on each axis then measured using eculidiean distance. The measured distance then
converted from pixel to metric unit. Volume of each sample has been acquired, where
sample with code NNS-ELP has the lowest error which is 6427.76 cm3, and sample
with code LBU-KCL and LBU-BSR has the highest difference among all of the
samples. It could be caused by bigger size of the sample than other samples.
Keywords: Volume, 3D imaging, line laser, Python and OpenCV, Raspberry Pi
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