README.md

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/
├── agrifield3d/               # Main Python package directory
│   ├── __init__.py            # Initialize the Python package
│   ├── dataset.py             # Python file to define dataset access functions
│   └── utils.py               # Helper functions (optional)
├── setup.py                   # Package setup configuration
├── README.md                  # Package description
├── requirements.txt           # Dependencies
├── MANIFEST.in                # Non-Python files to include in the package
├── Metadata.xlsx              # Metadata for your dataset
├── PointCloudDownsampler.py   # Python script for downsampling
└── datasets/                  # Directory for zipped datasets
    ├── 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

Contents of the .zip Files

• FielGrwon_ZeaMays_RawPCD_100k.zip:

  • Contains 1045 .ply files. Each file has 100K point cloud representing an entire maize plant.

• FielGrwon_ZeaMays_RawPCD_50k.zip:

  • Contains 1045 .ply files. Each file has 50K point cloud representing an entire maize plant.

• FielGrwon_ZeaMays_RawPCD_10k.zip:

  • Contains 1045 .ply files. Each file has 10K point cloud representing an entire maize plant.

• FielGrwon_ZeaMays_SegmentedPCD_100k.zip:

  • Contains 520 .ply files. Each file represents a segmented maize plant by 100K point cloud focusing on specific plant parts.

• FielGrwon_ZeaMays_SegmentedPCD_50k.zip:

  • Contains 520 .ply files. Each file represents a segmented maize plant by 50K point cloud focusing on specific plant parts.

• FielGrwon_ZeaMays_SegmentedPCD_10k.zip:

  • Contains 520 .ply files. Each file represents a segmented maize plant by 10K point cloud focusing on specific plant parts.

How to Access

1. Download the .zip files:

   • 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

2. Extract the files:

   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
   

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])