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Sugar4D

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Persistent identifier
doi:10.60507/FK2/IS8YBZ
Published version
3.0
Publication date
2026-03-05
License
CC BY 4.0

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.

Creators

Keywords

Spatio-temporal, Temporally consistent instance annotations, Point cloud, LiDAR, Sugar beet, Computer vision, Plant phenotyping

Files

Before downloading: Use and redistribution are governed by CC BY 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
sugar4d_readme.txttext/plain8850MD5 ec9c4275280cfefba6acb05ddcae63a8
sugar4d.zipapplication/zip6270780517MD5 27e44210d95a85cb04b93513f0ef2beb

Citation

Bömer, Jonas; Marks, Elias; Ispizua Yamati, Facundo Ramón; Stachniss, Cyrill; Paulus, Stefan; Mahlein, Anne-Katrin, 2026-03-05, Sugar4D, doi:10.60507/FK2/IS8YBZ, V3.0

Additional Dataverse fields

Id763
Dataset Typedataset
Internal Version Number9
Latest Version Publishing StateDRAFT
Production Date2021
Release Time2026-07-06T06:35:15Z
Create Time2026-06-28T15:46:27Z
Citation Date2026-03-05
File Access RequestTrue

Export metadata

Static metadata exports available for this published dataset version:

Complete Dataverse metadata

Citation Metadata

Title title
Sugar4D
Subtitle subtitle
A Comprehensive Dataset of Temporally Consistent Instance Annotations for 4D Plant Phenotyping
Author author
  1. Author Name
    Bömer, Jonas
    Author Affiliation
    Institute of Sugar Beet Research, Göttingen
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-0723-4224
    Expandedvalue
    Person Name
    Bömer, Jonas
    @id
    https://orcid.org/0000-0003-0723-4224
    Scheme
    ORCID
    @type
    https://schema.org/Person
  2. Author Name
    Marks, Elias
    Author Affiliation
    Center for Robotics, University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    0000-0003-1322-9317
  3. Author Name
    Ispizua Yamati, Facundo Ramón
    Author Affiliation
    Institute of Sugar Beet Research, Göttingen
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0001-5775-3554
    Expandedvalue
    Person Name
    Ispizua Yamati, Facundo Ramón
    @id
    https://orcid.org/0000-0001-5775-3554
    Scheme
    ORCID
    @type
    https://schema.org/Person
  4. Author Name
    Stachniss, Cyrill
    Author Affiliation
    Center for Robotics, University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-1173-6972
    Expandedvalue
    Person Name
    Stachniss, Cyrill
    @id
    https://orcid.org/0000-0003-1173-6972
    Scheme
    ORCID
    @type
    https://schema.org/Person
  5. Author Name
    Paulus, Stefan
    Author Affiliation
    Institute of Sugar Beet Research, Göttingen
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-4402-4760
    Expandedvalue
    Person Name
    Paulus, Stefan
    @id
    https://orcid.org/0000-0003-4402-4760
    Scheme
    ORCID
    @type
    https://schema.org/Person
  6. Author Name
    Mahlein, Anne-Katrin
    Author Affiliation
    Institute of Sugar Beet Research, Göttingen
    Author Identifier Scheme
    ORCID
    Author Identifier
    Type Name
    authorIdentifier
    Multiple
    False
    Type Class
    primitive
    Value
    https://orcid.org/0000-0003-1091-3690
    Expandedvalue
    Person Name
    Mahlein, Anne-Katrin
    @id
    https://orcid.org/0000-0003-1091-3690
    Scheme
    ORCID
    @type
    https://schema.org/Person
Dataset Contact datasetContact
  1. Dataset Contact Name
    Bömer, Jonas
    Dataset Contact Affiliation
    Institute of Sugar Beet Research, Göttingen
    Dataset Contact Email
    boemer@ifz-goettingen.de
Ds Description dsDescription
  1. Ds Description Value
    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.
    Ds Description Date
    2026-02-18
Subject subject
  1. Agricultural Sciences
  2. Computer and Information Science
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    Plant Sciences [202]
  2. Subject Refinement Value
    Agriculture, Forestry and Veterinary Medicine: Plant Breeding and Plant Pathology [207-02]
Free Keyword freeKeyword
  1. Free Keyword Value
    Spatio-temporal
  2. Free Keyword Value
    Temporally consistent instance annotations
  3. Free Keyword Value
    Point cloud
  4. Free Keyword Value
    LiDAR
  5. Free Keyword Value
    Sugar beet
  6. Free Keyword Value
    Computer vision
  7. Free Keyword Value
    Plant phenotyping
Publication publication
  1. Publication Relation Type
    IsSupplementTo
    Publication Citation
    Bömer, J., Marks, E., Ispizua Yamati, F.R. et al. Spatio-temporal 4D phenotyping for automated morphological genotype differentiation of sugar beet. Precision Agric 27, 50 (2026).
    Publication IDType
    doi
    Publication IDNumber
    10.1007/s11119-026-10337-6
    Publication URL
    https://doi.org/10.1007/s11119-026-10337-6
Language language
  1. English
Production Date productionDate
2021
Production Place productionPlace
Göttingen, Germany
Grant Number grantNumber
  1. Grant Number Agency
    Federal Ministry of Food and Agriculture (BMEL)
    Grant Number Value
    28DK108C20
  2. Grant Number Agency
    Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
    Grant Number Value
    EXC 2070 – 390732324
  3. Grant Number Agency
    Federal Ministry of Research, Technology and Space (BMFTR)
    Grant Number Value
    Robotics Institute Germany (RIG)
Depositor depositor
Bömer, Jonas
Date Of Deposit dateOfDeposit
2026-02-18
Time Period Covered timePeriodCovered
  1. Time Period Covered Start
    2021-10-26
    Time Period Covered End
    2021-12-21
Kind Of Data kindOfData
  1. point clouds
  2. automatic morphological measurements
  3. manual reference measurements
Related Datasets relatedDatasets
  1. Pheno4D - A large scale spatio-temporal dataset of point clouds of maize and tomato plants (https://www.ipb.uni-bonn.de/data/pheno4d/index.html)
  2. LAST-Straw - Lincoln’s Annotated Spatio-Temporal Strawberry Dataset (https://lcas.github.io/LAST-Straw/)

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