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AgriField3D: A Curated 3D Point Cloud Dataset of Field-Grown Plants From A Maize Diversity Panel

Dataset Structure

The dataset consists of two compressed .zip files, which contain the 3D point cloud data:

AgriField3D/
├── FielGrwon_ZeaMays_RawPCD_100k.zip
│   └── Contains 1045 high-resolution (100K points) `.ply` files representing full plant point clouds.
│       ├── 0001.ply
│       ├── 0002.ply
│       ├── ...
│       └── 1045.ply
├── FielGrwon_ZeaMays_SegmentedPCD_100k.zip
│   └── Contains 520 high-resolution (100K points) `.ply` files of segmented plant models.
│       ├── 0001.ply
│       ├── 0002.ply
│       ├── ...
│       └── 0520.ply

Contents of the .zip Files

  • FielGrwon_ZeaMays_RawPCD_100k.zip:

    • Contains 1045 .ply files. Each file is a high-resolution 3D point cloud representing an entire maize plant.

  • FielGrwon_ZeaMays_SegmentedPCD_100k.zip:

    • Contains 520 .ply files. Each file represents a segmented model focusing on specific plant parts.

How to Access

  1. Download the .zip files:

  2. Extract the files:

    unzip FielGrwon_ZeaMays_RawPCD_100k.zip
unzip FielGrwon_ZeaMays_SegmentedPCD_100k.zip

  3. Use the extracted .ply files in tools like:

    • MeshLab
    • CloudCompare
    • Python libraries such as open3d or trimesh.

Example Code to Visualize the .ply Files in Python 

import open3d as o3d

# Load and visualize a PLY file from the dataset
pcd = o3d.io.read_point_cloud("FielGrwon_ZeaMays_RawPCD_100k/0001.ply")
o3d.visualization.draw_geometries([pcd])