Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt
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| Owners: | Tianfang Xu |
| Type: | Resource |
| Storage: | The size of this resource is 17.7 MB |
| Created: | Apr 03, 2021 at 10:46 p.m. |
| Last updated: | Apr 03, 2021 at 11:15 p.m. |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
This resource is a deposit of the data and codes used in the reference below:
Xu, T., Guan, K,, Peng, B., Wei, S. and Zhao, L. (2021) Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt. Front. Artif. Intell. 4:647999. doi: 10.3389/frai.2021.64799
We used random forest to provide in-season prediction of county-wise rainfed corn yield in the U.S. Corn Belt by integrating various predictors including climate, soil properties, and management data such as planting date.
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Rainfed portion of U.S. Corn Belt
North Latitude
46.0000°
East Longitude
-83.0000°
South Latitude
37.0000°
West Longitude
-100.0000°
Temporal
| Start Date: | 01/01/2000 |
|---|---|
| End Date: | 12/31/2012 |
Leaflet Map data © OpenStreetMap contributors
Content
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How to Cite
Xu, T., K. Guan, B. Peng, S. Wei, L. Zhao (2021). Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt, HydroShare, http://www.hydroshare.org/resource/3a80e06f59784a93a4e2acabf8a3ec93
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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