# AgriFieldNet Competition Dataset
This dataset contains crop types of agricultural fields in four states of Uttar Pradesh, Rajasthan, Odisha and Bihar in northern India. There are 13 different classes in the dataset including Fallow land and 12 crop types of Wheat, Mustard, Lentil, Green pea, Sugarcane, Garlic, Maize, Gram, Coriander, Potato, Bersem, and Rice. The dataset is split to train and test collections as part of the AgriFieldNet India Competition. Ground reference data for this dataset is collected by IDinsight’s [Data on Demand](https://www.idinsight.org/services/data-on-demand/) team. Radiant Earth Foundation carried out the training dataset curation and publication. This training dataset is generated through a grant from the Enabling Crop Analytics at Scale ([ECAAS](https://cropanalytics.net/)) Initiative funded by [The Bill & Melinda Gates Foundation](https://www.gatesfoundation.org/) and implemented by [Tetra Tech](https://www.tetratech.com/).

## Documentation
* [Link](https://radiantearth.blob.core.windows.net/mlhub/ref_agrifieldnet_competition_v1/Documentation.pdf)

## Tutorials
* [A Baseline Model for the AgrifieldNet Competition](https://github.com/radiantearth/agrifieldnet_india_competition/blob/main/README.md) by [Emmanuel Siaw-Darko](https://www.linkedin.com/in/siaw-darko-emmanuel-0a0a28b7/)

## Creator & Contact
* [Radiant Earth Foundation](https://radiant.earth), [IDinsight](https://www.idinsight.org/)
* ml@radiant.earth

## License
* [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)

## Citation & DOI
Radiant Earth Foundation & IDinsight (2022) AgriFieldNet Competition Dataset, Version 1.0, Radiant MLHub. https://doi.org/10.34911/rdnt.wu92p1