Publication Abstracts

Antle et al. 2017

Antle, J.M., J.W. Jones, and C.E. Rosenzweig, 2017: Next generation agricultural system data, models and knowledge products: Introduction. Agric. Syst., 155, 186-190, doi:10.1016/j.agsy.2016.09.003.

Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural models today are direct descendants of research investments initially made 30-40 years ago, and many of the major advances in data, information and communication technology (ICT) of the past decade have not been fully exploited. 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. The Special Issue is based on a "NextGen" study led by the Agricultural Model Intercomparison and Improvement Project (AgMIP) with support from the Bill and Melinda Gates Foundation.

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BibTeX Citation

@article{an08100s,
  author={Antle, J. M. and Jones, J. W. and Rosenzweig, C. E.},
  title={Next generation agricultural system data, models and knowledge products: Introduction},
  year={2017},
  journal={Agric. Syst.},
  volume={155},
  pages={186--190},
  doi={10.1016/j.agsy.2016.09.003},
}

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RIS Citation

TY  - JOUR
ID  - an08100s
AU  - Antle, J. M.
AU  - Jones, J. W.
AU  - Rosenzweig, C. E.
PY  - 2017
TI  - Next generation agricultural system data, models and knowledge products: Introduction
JA  - Agric. Syst.
VL  - 155
SP  - 186
EP  - 190
DO  - 10.1016/j.agsy.2016.09.003
ER  -

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