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Towards a New Generation of Agricultural System Data, Models and Knowledge Products: Design and ImprovementThis paper presents ideas for a new generation of agricultural system models that could meet the needs of a growing community of end-users exemplified by a set of Use Cases. We envision new data, models and knowledge products that could accelerate the innovation process that is needed to achieve the goal of achieving sustainable local, regional and global food security. We identify desirable features for models, and describe some of the potential advances that we envisage for model components and their integration. We propose an implementation strategy that would link a "pre-competitive" space for model development to a "competitive space" for knowledge product development and through private-public partnerships for new data infrastructure. Specific model improvements would be based on further testing and evaluation of existing models, the development and testing of modular model components and integration, and linkages of model integration platforms to new data management and visualization tools.
Document ID
20160013402
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Antle, John M.
(Oregon State Univ. Corvallis, OR, United States)
Basso, Bruno
(Michigan State Univ. East Lansing, MI, United States)
Conant, Richard T.
(Colorado State Univ. Fort Collins, CO, United States)
Godfray, H. Charles J.
(Oxford Univ. Oxford, United Kingdom)
Jones, James W.
(Florida Univ. Gainesville, FL, United States)
Herrero, Mario
(Commonwealth Scientific and Industrial Research Organization Canberra, Australia)
Howitt, Richard E.
(California Univ. Davis, CA, United States)
Keating, Brian A.
(Commonwealth Scientific and Industrial Research Organization Canberra, Australia)
Munoz-Carpena, Rafael
(Florida Univ. Gainesville, FL, United States)
Rosenzweig, Cynthia
(NASA Goddard Inst. for Space Studies New York, NY United States)
Date Acquired
November 14, 2016
Publication Date
November 3, 2016
Publication Information
Publisher: Elsevier
Subject Category
Earth Resources And Remote Sensing
Computer Systems
Report/Patent Number
GSFC-E-DAA-TN37240
Funding Number(s)
CONTRACT_GRANT: 2011-68002-30191
Distribution Limits
Public
Copyright
Other
Keywords
Agricultural systems
Next generation
Knowledge products
Data
Climate models

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