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Created: | Oct 31, 2024 at 5:58 p.m. (UTC) | |
Last updated: | Jul 24, 2025 at 2:36 p.m. (UTC) | |
Citation: | See how to cite this resource |
Sharing Status: | Private (Accessible via direct link sharing) |
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Abstract
The mathematical models were coded with the General Algebraic Modeling System (GAMS) 39.3.0 from GAMS company, and then solved with the CPLEX 22.1 solver from IBM company.
The dataset used in the optimization model is summarized below:
• Crop Cost and Revenue data: KFMA Enterprise Reports
https://www.agmanager.info/kfma/kfma-enterprise-reports
• Irrigation Cost data: KSU Irrigation Energy Cost and Farm Management Guides
https://agmanager.info/ksu-irrigation-energy-cost
https://www.agmanager.info/farm-budgets
• Crop Yield Curve data: Crop Water Allocator
https://milab.ksu.edu/crop-water-allocator
• Weather data: Kansas Weather Data Library
https://mesonet.k-state.edu/climate/precip/county/
• Groundwater Extraction data: WIMAS
https://geohydro.kgs.ku.edu/geohydro/wimas/
• Annual Reported Irrigated Crop Types and Acreage data: WIMAS
https://geohydro.kgs.ku.edu/geohydro/wimas/
Subject Keywords
Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
---|---|---|
National Science Foundation Grant | No. RISE-2108196 | |
Foundation for Food and Agriculture Research Grant | No. FF-NIA19-0000000084 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
Name | Organization | Address | Phone | Author Identifiers |
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Blake Brownie Wilson | Kansas Geological Survey | |||
Longlong Wang | Beijing Jiaotong University | |||
Maria Elena Orduna Alegria | Kansas Geological Survey | |||
Guiping Hu | Oklahoma State University |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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