TY  - JOUR
T1  - The Development of a 3D Model of Oil Palm Fresh
AU - Khairunniza-Bejo, Siti AU - Najwa, Ainol AU - Harith, Hazreen H. 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 22
SP  - 5956
EP  - 5959
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.5956.5959
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.5956.5959
KW  - Point cloud
KW  -3D
KW  -modeling
KW  -oil palm
KW  -weight
KW  -SCENE
AB  - Terrestrial Laser Scanner (TLS) is widely used to generate a 3-Dimensional (3D) Model from point
cloud data. TLS technology can produce precise 3D Model rapidly. In this study, a new method for Fresh Fruit
Bunch (FFB) mass estimation is developed by constructing its 3D Model using point cloud data obtained via.
TLS and three software for data processing, namely SCENE, CloudCompare and MeshLab. Suitable setting
parameters for data acquisition were identified to be 2 m distance from the oil palm tree and 6.31 min of scanning
time. Three different sets of temporal scanning were conducted, i.e., 2 days before harvesting, 14 days before
harvesting and 17 days before harvesting. The mass of FFB was estimated using the equation, mass
(kg) = 875.30*3D volume. Results showed an average difference of 1.24-2.00 kg between the weighted and
calculated values. Additionally, a smaller difference (1.24 kg) was shown for data collected 14 days before
harvesting, compared to data collected 2 days (1.89 kg) and 17 days (2.00 kg) before harvesting.
ER  - 