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