dronelytics 1.0.3

Comprehensive Python package for drone orthomosaic analysis and agricultural field phenotyping

Dronelytics

Drone Orthomosaic Analysis and Agricultural Field Phenotyping in Python

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Dronelytics is an open-source Python package for processing multispectral drone imagery and point clouds. It provides tools for vegetation index calculation, plot segmentation, spectral data extraction, crop height modeling, and visualization within a unified workflow.

The package is designed for:

• Precision agriculture
• Crop phenotyping
• Plant breeding experiments
• Remote sensing research
• Crop insurance monitoring
• UAV-based environmental analysis

Features

Orthomosaic Processing

• RGB, RGB+NIR, and RGB+NIR+RedEdge imagery support
• GeoTIFF-based workflows
• Flexible band configuration
• Metadata handling

Vegetation Analysis

Implemented vegetation indices:

• NDVI
• NDRE
• GNDVI
• ExG
• SAVI
• MSAVI
• VARI
• ARVI
• CVI
• OSAVI

Additional capabilities:

• Custom vegetation index formulas
• Batch processing
• Statistical summaries

Plot Segmentation

• Automated plot detection
• Boundary extraction
• Plot-level statistics
• Spectral data extraction

Point Cloud Processing

• Digital Terrain Model (DTM)
• Digital Surface Model (DSM)
• Crop Height Model (CHM)
• Height statistics

Visualization

• Point cloud visualization
• Elevation model visualization
• CHM visualization
• Surface mesh generation
• Multi-layer comparison tools

Workflow

Orthomosaic / Point Cloud
            │
            ▼
      Data Loading
            │
            ▼
 Vegetation Analysis
            │
            ▼
   Plot Segmentation
            │
            ▼
   Feature Extraction
            │
            ▼
   Statistical Analysis
            │
            ▼
     Export Results

Installation

pip install dronelytics

Optional point cloud support:

pip install dronelytics[pointcloud]

Citation

If you use Dronelytics in research:

BC, L. (2026). Dronelytics: Comprehensive Drone Orthomosaic Analysis and Agricultural Field Phenotyping Toolkit. Version 1.0.3.

Contributing

Contributions, bug reports, and feature requests are welcome.

Fork the repository Create a feature branch Submit a Pull Request