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

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 th...

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Detalles Bibliográficos
Autores principales: Antle, John M., Jones, James W., Rosenzweig, Cynthia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Applied Science [etc.] 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485654/
https://www.ncbi.nlm.nih.gov/pubmed/28701810
http://dx.doi.org/10.1016/j.agsy.2017.05.006
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author Antle, John M.
Jones, James W.
Rosenzweig, Cynthia
author_facet Antle, John M.
Jones, James W.
Rosenzweig, Cynthia
author_sort Antle, John M.
collection PubMed
description 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.
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spelling pubmed-54856542017-07-10 Next generation agricultural system models and knowledge products: Synthesis and strategy Antle, John M. Jones, James W. Rosenzweig, Cynthia Agric Syst Editorial 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. Elsevier Applied Science [etc.] 2017-07 /pmc/articles/PMC5485654/ /pubmed/28701810 http://dx.doi.org/10.1016/j.agsy.2017.05.006 Text en © 2017 The Authors. Published by Elsevier Ltd. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Editorial
Antle, John M.
Jones, James W.
Rosenzweig, Cynthia
Next generation agricultural system models and knowledge products: Synthesis and strategy
title Next generation agricultural system models and knowledge products: Synthesis and strategy
title_full Next generation agricultural system models and knowledge products: Synthesis and strategy
title_fullStr Next generation agricultural system models and knowledge products: Synthesis and strategy
title_full_unstemmed Next generation agricultural system models and knowledge products: Synthesis and strategy
title_short Next generation agricultural system models and knowledge products: Synthesis and strategy
title_sort next generation agricultural system models and knowledge products: synthesis and strategy
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485654/
https://www.ncbi.nlm.nih.gov/pubmed/28701810
http://dx.doi.org/10.1016/j.agsy.2017.05.006
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