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Cyberinfrastructure for the collaborative development of U2U decision support tools
10 Nov 2016 | Contributor(s): Larry Biehl, Lan Zhao, Carol Song, Christopher Panza
This paper describes the use of cyberinfrastructure to create interactive applications as part of the Useful to Usable (U2U) project. These applications transform historical climate data, knowledge, and models into decision support tools for end users such as crop farmers, uni- versity Extension...
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Active Learning Modeler Tool
17 Mar 2015 | Tools | Contributor(s): Wei Wan, Lexie Yang (contributor), Rajesh Kalyanam (contributor), Christopher Panza (contributor)
Graphic modeling and view for active learning algorithms of remote sensing, integration with IData.
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AgMIP GEOSHARE Tool with iData Integration Demo
06 Mar 2015 | Tools | Contributor(s): Nelson Benjamin Villoria, Joshua Elliott, Christoph MÃ_ller, Jaewoo Shin, Christopher Panza, Lan Zhao
Aggregate yield shocks provided by the AgMIP's Global Gridded Crop Modeling Initiative (Ag-GRID) from their original 30x30 min resolution to any user specified level
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Developing A Collaborative Environment for Useful to Useable (U2U) Project
10 Nov 2014 | Downloads | Contributor(s): Larry Biehl, Carol Song, Lan Zhao, Christopher Panza, Brian Raub, Luke Policinski
HUBzero is being used as a collaborative environment for the Useful to Usable (U2U) project funded by the USDA. U2U is an integrated research and extension project working to improve farm resilience and profitability in the North Central U.S. by transforming existing climate data into usable...
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Developing A Collaborative Environment for the Useful to Usable (U2U) Project
10 Nov 2014 | Online Presentations | Contributor(s): Larry Biehl, Carol Song, Lan Zhao, Christopher Panza, Brian Raub, Luke Policinski
HUBzero is being used as a collaborative environment for the Useful to Usable (U2U) project funded by the USDA. U2U is an integrated research and extension project working to improve farm resilience and profitability in the North Central U.S. by transforming existing climate data into usable...
