Sugar4D

Version 1.0
Sugar4D
Bömer, Jonas; Marks, Elias; Ispizua Yamati, Facundo Ramón; Stachniss, Cyrill; Paulus, Stefan; Mahlein, Anne-Katrin, 2026, "Sugar4D", https://doi.org/10.60507/FK2/IS8YBZ, bonndata, V1
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Description
The Sugar4D project introduces a publicly available, high-quality 4D plant phenotyping dataset of sugar beet plants captured with terrestrial LiDAR. It provides densely sampled, temporally consistent point cloud data with detailed, point-wise organ-level annotations that enable tracking of individual leaves across growth stages. By combining annotated 3D data with extracted morphological traits and reference measurements, the dataset aims to reduce the bottleneck of data acquisition and manual annotation, and to support the development, benchmarking, and validation of methods for spatio-temporal plant analysis, including instance segmentation, temporal registration, organ tracking, and growth-related morphological studies. (2026-02-18)
Subject Agricultural Sciences; Computer and Information Science
Related Publication IsSupplementTo: Jonas Bömer, Elias Marks, Facundo Ramón Ispizua Yamati, Cyrill Stachniss, Stefan Paulus, and Anne-Katrin Mahlein. Spatio-Temporal 4D Phenotyping for Automated Morphological Genotype Differentiation of Sugar Beet, 22 September 2025, PREPRINT (Version 2) available at Research Square [https://doi.org/10.21203/rs.3.rs-6700539/v2]doi: 10.21203/rs.3.rs-6700539/v2
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Sugar4D dataset
sugar4d_readme.txt
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