On the 3D point clouds-palm and coconut trees data set extraction and their usages

Chantana Chantrapornchai; Phisit Srijan

doi:10.1186/s13104-023-06647-x

On the 3D point clouds-palm and coconut trees data set extraction and their usages

BMC Res Notes. 2023 Dec 8;16(1):363. doi: 10.1186/s13104-023-06647-x.

Authors

Chantana Chantrapornchai¹, Phisit Srijan²

Affiliations

¹ Department of Computer Engineering, Kasetsart University, Ngamwongwan Rd., Bangkok, 10900, Thailand. fengcnc@ku.ac.th.
² Department of Computer Engineering, Kasetsart University, Ngamwongwan Rd., Bangkok, 10900, Thailand.

Abstract

Objective: Drone image data set can be utilized for field surveying and image data collection which can be useful for analytics. With the current drone mapping software, useful 3D object reconstruction is possible. This research aims to learn the 3D data set construction process for trees with open-source software along with their usage. Thus, we research the tools used for 3D data set construction, especially in the agriculture field. Due to the growing open-source community, we demonstrate the case study of our palm and coconut data sets against the open-source ones.

Results: The methodology for achieving the point cloud data set was based on the tools: OpenDroneMap, CloudCompare, and Open3D. As a result, 40 palm trees and 40 coconut tree point clouds were extracted. Examples of the usages are provided in the area of volume estimation and graph analytics.

Keywords: CloudCompare; Coconut dataset; Drone image analytic; Open3D; Palm data set; WebODM.

MeSH terms

Cocos*
Data Collection
Software
Trees*

Abstract

MeSH terms

Grants and funding