AgriFieldNet Competition Dataset

This dataset contains crop types of agricultural fields in four states of Uttar Pradesh, Rajasthan, Odisha and Bihar in northern India. Ground reference data for this dataset is collected by IDinsight's 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) Initiative funded by The Bill & Melinda Gates Foundation and implemented by Tetra Tech.

Product Details

Visibility: Public
Owner: Radiant Earth Foundation
Created: 26 Jun 2024
Last Updated: 3 Apr 2025

Product Contents

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README

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 IDinsightâs 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) Initiative funded by The Bill & Melinda Gates Foundation and implemented by Tetra Tech.

Documentation

Link

Tutorials

A Baseline Model for the AgrifieldNet Competition by Emmanuel Siaw-Darko

Creator & Contact

License

CC-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