Sorghum Plants Labeled 3D LiDAR Point Cloud Data

Published: 29 August 2023| Version 1 | DOI: 10.17632/pfnfzrmrg7.1
Contributors:
Ajay Kumar Patel, Byoung-Kwan Cho, Eun-Sung Park

Description

Point-wise annotation was conducted on input point clouds to prepare a labeled dataset for segmenting different sorghum plant-organ. Each sorghum plant's leaf, stem, and panicle were manually labeled in 0, 1, and 2, respectively, using the segment module of the CloudCompare software.

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Institutions

  • Chungnam National University College of Agriculture and Life Sciences
  • Chungnam National University

Categories

Agricultural Engineering, 3D Analysis, Phenotyping, Lidar Remote Sensing, Sorghum, Point Cloud, Deep Learning

Funders

  • National Institute of Crop Science, Rural Development Administration, Republic of Korea
    Grant ID: PJ0156892021

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