Marrewijk, van, Bart M.; Xin, Bolai; van Daalen, Tim; van Henten, Eldert; Polder, Gerrit et. al. (2025): TomatoWUR: an annotated dataset of 3D tomato plants to quantitatively evaluate segmentation, skeletonisation, and plant trait extraction algorithms for 3D plant phenotyping. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e2c59841-4653-45de-a75e-4994b2766a2f.v1

Version 2 - 2025-04-30 (latest)

Categories

• Artificial Intelligence and Image Processing
• Horticultural Production
• Agriculture, Land and Farm Management
• Agricultural and Veterinary Sciences
• Information and Computing Sciences

Keywords

3D phenotyping 3D plant phenotyping horticulture plant architecture point clouds RGB images segmentation shape-from-silhouette tomato

Geolocation

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Licence

CC BY-SA 4.0

Interoperability

• RO-Crate Metadata

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by Bart M. Marrewijk, van , Bolai Xin, Tim van Daalen , Eldert van Henten , Gerrit Polder , Gert Kootstra

In this research, we created a dataset of 44 annotated 3D point clouds of tomato plants. Images were captured using fifteen cameras surrounding a single plant. Those images were used to create a point cloud using the shape-form silhouette methodology (Koenderink et al., 2009). The resulting dataset was annotated and separated into three parts. 1) Annotated point clouds with semantic and instance labels. The annotated point clouds were used to render annotated RGB images. 2) Annotated skeletons to analyse plant architecture. 3) Manual measurements of internode length, stem thickness, branching and phyllotactic angle to evaluate phenotyping algorithms from point cloud to plant traits. To view the dataset, please have a look at our git:

History

• 2025-03-27 first online, published, posted

Publisher

4TU.ResearchData

Format

Raw images: PNG; Annotated RGB images: PNG; Camera calibration: json; Point clouds: csv, including coordinates (xyz), colour (r,g,b), normals (nx, ny, nz), Annotated point clouds: csv; Annotated skeletons including manual measurements: csv

References

• https://github.com/WUR-ABE/TomatoWUR/tree/main

Funding

• Test and Experiment Facilities for the Agri-Food Domain (grant code 101100622) [more info...] Digital Europe Programme (DIGITAL)

Organizations

Greenhouse Horticulture Business Unit, Wageningen University & Research