Next generation agricultural system models and knowledge products: Synthesis and strategy

被引:31
作者
Antle, John M. [1 ]
Jones, James W. [2 ]
Rosenzweig, Cynthia [3 ]
机构
[1] Oregon State Univ, Corvallis, OR 97331 USA
[2] Univ Florida, Gainesville, FL 32611 USA
[3] Columbia Univ, NASA, New York, NY 10027 USA
基金
美国食品与农业研究所;
关键词
D O I
10.1016/j.agsy.2017.05.006
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. In the Introduction to this Special Issue, we described a vision for accelerating the rate of agricultural innovation and meeting the growing global need for food and fiber. In this concluding article of the NextGen Special Issue we synthesize insights and formulate a strategy to advance data, models, and knowledge products that are consistent with this vision. This strategy is designed to facilitate a transition from the current, primarily supply-driven approach toward a more demand-driven approach that would address key Use Cases where better data, models and knowledge products are seen by end users as essential to meet their needs.
引用
收藏
页码:179 / 185
页数:7
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