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Author:
Sayantan Majumdar, Jeremy Rapp, Justin L. Huntington, Peter ReVelle, Soheil Nozari, Ryan G. Smith, M. F. Hasan, Matt Bromley, Jayden Atkin, Eric R. Jensen, David Ketchum, Samapriya Roy
Summary:
Agribound: Unified agricultural field boundary delineation from satellite imagery using geospatial foundation models, pre-trained segmentation, and embeddings.
Latest version:
1.0.1
Required dependencies:
click
|
geopandas
|
huggingface-hub
|
leafmap
|
numpy
|
psutil
|
pyarrow
|
pyproj
|
pyyaml
|
rasterio
|
scikit-learn
|
scipy
|
shapely
|
tqdm
Optional dependencies:
agribound
|
anthropic
|
earthengine-api
|
ftw-tools
|
geedim
|
geemap
|
geoai-py
|
geotessera
|
huggingface-hub
|
mcp
|
mkdocs
|
mkdocs-jupyter
|
mkdocs-material
|
mkdocstrings
|
numba
|
opencv-python
|
psutil
|
pytest
|
pytest-cov
|
pytest-timeout
|
ruff
|
segment-geospatial
|
segmentation-models-pytorch
|
terratorch
|
torch
|
torchgeo
|
triton-windows
|
ultralytics
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