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Annotated 3D Point Cloud Dataset of Broad-Leaf Legumes Captured by High-Throughput Phenotyping Platform

Version 5 2025-10-01, 13:06
Version 4 2025-08-01, 12:14
Version 3 2025-07-31, 13:01
Version 2 2025-07-29, 08:06
Version 1 2025-01-29, 07:05
dataset
posted on 2025-10-01, 13:06 authored by Alexander Galba, Jan MasnerJan Masner, Jana Kholová, Serkan Kartal, Michal Stočes, Vojtěch Mikeš, Pavel Šimek, Štěpánka Prokopová, Thorsten Karrer, András Tóth
<p dir="ltr">Annotated 3D point cloud plant scans generated by a high-throughput phenotyping platform (LeasyScan, ICRISAT, India). It focuses on broad-leaf legume species (mungbean, common bean, cowpea, and lima bean). The dataset, generated by PlantEye(R) F600 technology, captures multispectral 3D scans of plant canopies. It includes 223 scans, providing detailed organ-level segmentation annotations for embryonic leaves, leaves, petioles, stems, and whole plants. The dataset fills a critical gap in plant phenomics research by offering a base of annotated data to support AI model development efforts in 3D computer vision. See README.md file for additional details.</p>

Funding

The results and knowledge included herein have been obtained owing to support from the following grants: Internal grant agency of the Faculty of Economics and Management, Czech University of Life Sciences Prague, grant no. 2023B0005 (Oborově zaměřené datové modely pro podporu iniciativy Open Science a principu FAIR); Ministry of Agriculture of the Czech Republic, grant number QK23020058 (Precision agriculture and digitization in the Czech Republic).

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