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Next generation agricultural system models and knowledge products: Synthesis and strategy.
Antle, John M; Jones, James W; Rosenzweig, Cynthia.
Affiliation
  • Antle JM; Oregon State University, United States.
  • Jones JW; University of Florida, United States.
  • Rosenzweig C; NASA/Columbia University, United States.
Agric Syst ; 155: 179-185, 2017 Jul.
Article in En | MEDLINE | ID: mdl-28701810
ABSTRACT
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Agric Syst Year: 2017 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Agric Syst Year: 2017 Type: Article Affiliation country: United States