CropHarvest is an open source remote sensing dataset for agriculture with benchmarks. It collects data from a variety of agricultural land use datasets and remote sensing products.

cropharvest can be pip installed by running pip install cropharvest

See the demo.ipynb notebook for an example on how to download the data from Zenodo and train a random forest against this data.

For more examples of models trained against this dataset, see the benchmarks.

More details about CropHarvest and the benchmarks are available in this paper.

If you would like to contribute a dataset, please see the contributing readme.

CropHarvest has a Creative Commons Attribution-ShareAlike 4.0 International license.

If you use CropHarvest in your research, please use the following citation:

@inproceedings{
    tseng2021cropharvest,
    title={CropHarvest: A global dataset for crop-type classification},
    author={Gabriel Tseng and Ivan Zvonkov and Catherine Lilian Nakalembe and Hannah Kerner},
    booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)},
    year={2021},
    url={https://openreview.net/forum?id=JtjzUXPEaCu}
}