Sorghum Plants Labeled 3D LiDAR Point Cloud Data
Published: 29 August 2023| Version 1 | DOI: 10.17632/pfnfzrmrg7.1
Contributors:
Ajay Kumar Patel, , 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
Funding
National Institute of Crop Science, Rural Development Administration, Republic of Korea
PJ0156892021