USCrop: County-level crop yield, weather, and soil data for the United States (1981-2020)
Author
Fan, Joshua
Bai, Junwen
Li, Zhiyun
Ortiz-Bobea, Ariel
Gomes, Carla
Abstract
This dataset contains crop yield, weather, soil, and crop progress information for US counties in 1981-2020. Specifically, each row contains data for a unique county and year. The dataset was used in the following paper - please cite it if you find the data helpful:
[1] Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes. A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. AAAI 2022: 11873-11881. Link: https://arxiv.org/pdf/2111.08900
Description
Please see the README.md file and the appendices of the paper (https://arxiv.org/pdf/2111.08900) for detailed descriptions of the data and how it was constructed.
Please see our GitHub repo (https://github.com/gomes-lab/GNN-RNN) for code that trains various deep learning models on the dataset.
Please see our GitHub repo (https://github.com/gomes-lab/GNN-RNN) for code that trains various deep learning models on the dataset.
Sponsorship
This research was partially supported by USDA Cooperative Agreement 58-6000-9-0041 and USDA NIFA Hatch Project 1017421, and an NSF NRT Fellowship in Digital Plant Science.
Date Issued
2025-07-07
Rights
Attribution 4.0 International
Type
dataset
Accessibility Feature
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Accessibility Hazard
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