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dataset_info: |
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name: AgriField3D |
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description: > |
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AgriField3D is a curated dataset of 3D point clouds representing fully field-grown maize plants |
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from a diverse maize genetic panel. This dataset contains over 1,000 point clouds of maize plants, |
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collected using a Terrestrial Laser Scanner, and includes various versions of point clouds such as raw, |
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segmented, and reconstructed surfaces. It is designed to support advanced AI applications in agricultural |
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research, particularly maize phenotyping and plant structure analysis. |
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version: 1.0 |
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license: CC-BY-NC-4.0 |
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authors: |
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- Elvis Kimara |
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- Mozhgan Hadadi |
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- Jackson Godbersen |
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- Aditya Balu |
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- Zaki Jubery |
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- Adarsh Krishnamurthy |
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- Patrick Schnable |
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- Baskar Ganapathysubramanian |
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citation: > |
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@article{kimara2025AgriField3D, |
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title = "AgriField3D: A Curated 3D Point Cloud Dataset of Field-Grown Plants from a Maize Diversity Panel", |
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author = "Elvis Kimara, Mozhgan Hadadi, Jackson Godbersen, Aditya Balu, Zaki Jubery, Adarsh Krishnamurthy, Patrick Schnable, Baskar Ganapathysubramanian", |
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year = "2025" |
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} |
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intended_use: |
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- AI-based agricultural research |
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- Maize phenotyping |
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- Plant structure analysis |
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- 3D data-driven studies in agriculture |
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features: |
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- Point clouds: `.ply` format |
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- Resolutions: 100k, 50k, 10k points |
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- Data types: Raw, segmented, reconstructed surfaces |
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- Plant types: Various maize genetic backgrounds |
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- Segmentation: Individual leaves and stalks color-labeled |
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- Metadata: Quality of point clouds, leaf count, tassels, and maize cobs presence |
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dataset_size: |
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raw_point_clouds: |
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- "FielGrwon_ZeaMays_RawPCD_100k.zip: 1045 .ply files (100K points per plant)" |
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- "FielGrwon_ZeaMays_RawPCD_50k.zip: 1045 .ply files (50K points per plant)" |
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- "FielGrwon_ZeaMays_RawPCD_10k.zip: 1045 .ply files (10K points per plant)" |
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segmented_point_clouds: |
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- "FielGrwon_ZeaMays_SegmentedPCD_100k.zip: 520 .ply files (100K points per segmented plant)" |
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- "FielGrwon_ZeaMays_SegmentedPCD_50k.zip: 520 .ply files (50K points per segmented plant)" |
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- "FielGrwon_ZeaMays_SegmentedPCD_10k.zip: 520 .ply files (10K points per segmented plant)" |
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reconstructed_surfaces: |
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- "FielGrwon_ZeaMays_Reconstructed_Surface_stl.zip: 520 .ply files (reconstructed surfaces)" |
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- "FielGrwon_ZeaMays_Reconstructed_Surface_dat.zip: 520 .ply files (NURBS surface data)" |
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dependencies: |
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- Python 3.6+ |
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- open3d (for visualization) |
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- MeshLab, CloudCompare (for additional point cloud manipulation) |
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- trimesh (for 3D mesh processing) |
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installation_instructions: | |
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To install the dataset, clone the repository and install the dependencies: |
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```bash |
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git clone https://huggingface.co/datasets/BGLab/AgriField3D |
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cd AgriField3D |
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pip install -r requirements.txt |
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``` |
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download_instructions: | |
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1. Download the zipped files from the following links: |
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- FielGrwon_ZeaMays_RawPCD_100k.zip |
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- FielGrwon_ZeaMays_RawPCD_50k.zip |
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- FielGrwon_ZeaMays_RawPCD_10k.zip |
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- FielGrwon_ZeaMays_SegmentedPCD_100k.zip |
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- FielGrwon_ZeaMays_SegmentedPCD_50k.zip |
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- FielGrwon_ZeaMays_SegmentedPCD_10k.zip |
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- FielGrwon_ZeaMays_Reconstructed_Surface_stl.zip |
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- FielGrwon_ZeaMays_Reconstructed_Surface_dat.zip |
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2. Extract the `.zip` files: |
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```bash |
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unzip FielGrwon_ZeaMays_RawPCD_100k.zip |
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unzip FielGrwon_ZeaMays_RawPCD_50k.zip |
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unzip FielGrwon_ZeaMays_RawPCD_10k.zip |
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unzip FielGrwon_ZeaMays_SegmentedPCD_100k.zip |
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unzip FielGrwon_ZeaMays_SegmentedPCD_50k.zip |
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unzip FielGrwon_ZeaMays_SegmentedPCD_10k.zip |
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``` |
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visualization_instructions: | |
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Use the following Python code to visualize the point clouds: |
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```python |
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import open3d as o3d |
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pcd = o3d.io.read_point_cloud("FielGrwon_ZeaMays_RawPCD_100k/0001.ply") |
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o3d.visualization.draw_geometries([pcd]) |
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``` |
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repository_links: |
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- https://huggingface.co/datasets/BGLab/AgriField3D |
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- https://huggingface.co/docs/hub/datasets-cards |
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