Abstract: 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.
Siti Khairunniza-Bejo, Ainol Najwa and Hazreen H. Harith, 2017. The Development of a 3D Model of Oil Palm Fresh. Journal of Engineering and Applied Sciences, 12: 5956-5959.