Towards a New Generation of Agricultural System Models , Data , and Knowledge Products

[1]  M. Lima,et al.  Predicting insect pest status under climate change scenarios: combining experimental data and population dynamics modelling , 2009 .

[2]  John O. Carter,et al.  Using spatial interpolation to construct a comprehensive archive of Australian climate data , 2001, Environ. Model. Softw..

[3]  Robert Muetzelfeldt,et al.  The Simile visual modelling environment , 2003 .

[4]  Sander Janssen,et al.  A database for integrated assessment of European agricultural systems. , 2009 .

[5]  John M. Antle,et al.  Towards a Knowledge Infrastructure for Science-Based Policy and Sustainable Management of Agricultural Landscapes , 2014 .

[6]  John M. Antle,et al.  Representative Agricultural Pathways and Scenarios for Regional Integrated Assessment of Climate Change Impacts, Vulnerability, and Adaptation , 2015 .

[7]  Ellen Brooks-Pollock,et al.  A dynamic model of bovine tuberculosis spread and control in Great Britain , 2014, Nature.

[8]  James W. Jones,et al.  Harmonization and translation of crop modeling data to ensure interoperability , 2014, Environ. Model. Softw..

[9]  C. Müller,et al.  Constraints and potentials of future irrigation water availability on agricultural production under climate change , 2013, Proceedings of the National Academy of Sciences.

[10]  Joshua Elliott,et al.  Food security: Fertilizing hidden hunger , 2014 .

[11]  Barry W. Boehm,et al.  Improving Software Productivity , 1987, Computer.

[12]  Senthold Asseng,et al.  An overview of APSIM, a model designed for farming systems simulation , 2003 .

[13]  Gary W. Johnson,et al.  ARIES (ARtificial Intelligence for Ecosystem Services ): a new tool for ecosystem services assessment, planning, and valuation. , 2009 .

[14]  M. Rosegrant.  International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) Model Description , 2012 .

[15]  H. Weigel,et al.  Changes in atmospheric chemistry and crop health: A review , 2011, Agronomy for Sustainable Development.

[16]  Boyan Brodaric,et al.  GEON: Toward a Cyberinfrastructure for the Geosciences—A Prototype for Geologic Map Integration via Domain Ontologies , 2004 .

[17]  Cláudio T. Silva,et al.  VisTrails: visualization meets data management , 2006, SIGMOD Conference.

[18]  Ioana Manolescu,et al.  Reactive workflows for visual analytics , 2009 .

[19]  Hans-Georg Frede,et al.  Automatic model calibration , 2005 .

[20]  S. Sorooshian,et al.  Effective and efficient global optimization for conceptual rainfall‐runoff models , 1992 .

[21]  Karl E. Taylor,et al.  An overview of CMIP5 and the experiment design , 2012 .

[22]  Frits K. van Evert,et al.  The ModCom modular simulation system , 2003 .

[23]  Hongtao Li,et al.  A Generic Bio-Economic Farm Model for Environmental and Economic Assessment of Agricultural Systems , 2010, Environmental management.

[24]  J. R. Wight,et al.  SPUR: simulation of production and utilization of rangelands: a rangeland model for management and research , 1983 .

[25]  James W. Jones,et al.  Climate change impacts on sugarcane attainable yield in southern Brazil , 2013, Climatic Change.

[26]  Jeffrey W. White,et al.  Simulating effects of genes for physiological traits in a process-oriented crop model , 1996 .

[27]  Richard E Howitt,et al.  A dynamic, optimal disease control model for foot-and-mouth disease: I. Model description. , 2007, Preventive veterinary medicine.

[28]  Guenther Fischer,et al.  Global Agro-ecological Assessment for Agriculture in the 21st Century , 2002 .

[29]  Arlen W. Harbaugh,et al.  A modular three-dimensional finite-difference ground-water flow model , 1984 .

[30]  James W. Jones,et al.  Carbon–Temperature–Water change analysis for peanut production under climate change: a prototype for the AgMIP Coordinated Climate‐Crop Modeling Project (C3MP) , 2014, Global change biology.

[31]  S. Running,et al.  Mapping Regional Forest Evapotranspiration And Photosynthesis By Coupling Satellite Data With Ecosystem Simulation , 1989, 10th Annual International Symposium on Geoscience and Remote Sensing.

[32]  Max D. Morris,et al.  Factorial sampling plans for preliminary computational experiments , 1991 .

[33]  Jeffrey W. White,et al.  Improving Physiological Assumptions Of Simulation Models By Using Gene‐Based Approaches , 2003 .

[34]  Andrea Emilio Rizzoli,et al.  Semantic links in integrated modelling frameworks , 2008, Math. Comput. Simul..

[35]  K. Fuglie,et al.  New Evidence Points to Robust but Uneven Productivity Growth in Global Agriculture , 2012 .

[36]  Jean-Daniel Fekete,et al.  Visual Analytics Infrastructures: From Data Management to Exploration , 2013, Computer.

[37]  E. Schmid,et al.  Climate change mitigation through livestock system transitions , 2014, Proceedings of the National Academy of Sciences.

[38]  Valerie O. Snow,et al.  Modelling the manager: Representing rule-based management in farming systems simulation models , 2014, Environ. Model. Softw..

[39]  Dean P. Holzworth,et al.  Simplifying environmental model reuse , 2010, Environ. Model. Softw..

[40]  François Brun,et al.  Assessing the Uncertainty when Using a Model to Compare Irrigation Strategies , 2012 .

[41]  Guenther Fischer,et al.  Global Agro-Ecological Zones Assessment: Methodology and Results , 2000 .

[42]  David Weinberger,et al.  Small Pieces Loosely Joined (a unified theory of the web) , 2002 .

[43]  B. Walsh,et al.  Models for navigating biological complexity in breeding improved crop plants. , 2006, Trends in plant science.

[44]  Joseph H. A. Guillaume,et al.  Characterising performance of environmental models , 2013, Environ. Model. Softw..

[45]  N. Munier-Jolain,et al.  Assessing innovative sowing patterns for integrated weed management with a 3D crop:weed competition model , 2014 .

[46]  Charles Steinfield,et al.  ASSESSING THE ROLE OF INFORMATION AND COMMUNICATION TECHNOLOGIES TO ENHANCE FOOD SYSTEMS IN DEVELOPING COUNTRIES , 2013 .

[47]  Stefano Tarantola,et al.  Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models , 2004 .

[48]  Brenda Rashleigh,et al.  An integrated modeling framework for performing environmental assessments: Application to ecosystem services in the Albemarle-Pamlico basins (NC and VA, USA) , 2011 .

[49]  James W. Jones,et al.  A Gene‐Based Model to Simulate Soybean Development and Yield Responses to Environment , 2006 .

[50]  Surabhi Mittal,et al.  Socio-Economic Impact of Mobile Phones on Indian Agriculture , 2012 .

[51]  Ioannis N. Athanasiadis,et al.  A roadmap to domain specific programming languages for environmental modeling: key requirements and concepts , 2013, DSM '13.

[52]  Mary C. Hill,et al.  Integrated environmental modeling: A vision and roadmap for the future , 2013, Environ. Model. Softw..

[53]  P. Pingali,et al.  Pesticides, Productivity, and Farmer Health: A Philippine Case Study , 1994 .

[54]  David R. Maidment,et al.  Accessing and sharing data using CUAHSI Water Data Services. , 2009 .

[55]  James W. Jones,et al.  Towards a new generation of agricultural system data, models and knowledge products: Design and improvement , 2017, Agricultural systems.

[56]  Steven M. Manson,et al.  Challenges in Evaluating Models of Geographic Complexity , 2007 .

[57]  Catherine A Calder,et al.  Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. , 2009, Ecological applications : a publication of the Ecological Society of America.

[58]  Peter Krause,et al.  Environmental modeling framework invasiveness: Analysis and implications , 2011, Environ. Model. Softw..

[59]  J. Goudriaan,et al.  ON APPROACHES AND APPLICATIONS OF THE WAGENINGEN CROP MODELS , 2003 .

[60]  Eric S. Raymond,et al.  The cathedral and the bazaar - musings on Linux and Open Source by an accidental revolutionary , 2001 .

[61]  James W. Jones,et al.  Uncertainty in Simulating Wheat Yields Under Climate Change , 2013 .

[62]  Olaf David,et al.  A software engineering perspective on environmental modeling framework design: The Object Modeling System , 2013, Environ. Model. Softw..

[63]  Daniel S. Katz,et al.  Swift: A language for distributed parallel scripting , 2011, Parallel Comput..

[64]  Karline Soetaert,et al.  Model complexity and performance: How far can we simplify? , 2006 .

[65]  Philippe Lagacherie,et al.  GlobalSoilMap: Toward a Fine-Resolution Global Grid of Soil Properties , 2014 .

[66]  George H. Leavesley,et al.  A modular approach to addressing model design, scale, and parameter estimation issues in distributed hydrological modelling , 2002 .

[67]  Ioannis N. Athanasiadis,et al.  Privacy-preserving computation of participatory noise maps in the cloud , 2014, J. Syst. Softw..

[68]  Bruno Basso,et al.  Analyzing the effects of climate variability on spatial pattern of yield in a maize-wheat-soybean rotation , 2007 .

[69]  Clay Shirky.  Here Comes Everybody: The Power of Organizing Without Organizations , 2008 .

[70]  George S. Innis,et al.  Objectives and Structure for a Grassland Simulation Model , 1978 .

[71]  Dalle Molle,et al.  A Design for Framework-Independent Model Components of Biophysical Systems , 2008 .

[72]  J. B. Gregersen,et al.  OpenMI: Open modelling interface , 2007 .

[73]  Basil Acock,et al.  Modularity and genericness in plant and ecosystem models , 1997 .

[74]  David Parsons,et al.  Development and Evaluation of an Integrated Simulation Model for Assessing Smallholder Crop-Livestock Production in Yucatán, Mexico , 2011 .

[75]  Ian T. Foster,et al.  The parallel system for integrating impact models and sectors (pSIMS) , 2013, Environ. Model. Softw..

[76]  Jean-Daniel Fekete,et al.  Managing Data for Visual Analytics: Opportunities and Challenges , 2012, IEEE Data Eng. Bull..

[77]  A. Saltelli,et al.  Sensitivity analysis for chemical models. , 2005, Chemical reviews.

[78]  Nathalie Villa-Vialaneix,et al.  A comparison of eight metamodeling techniques for the simulation of N2O fluxes and N leaching from corn crops , 2012, Environ. Model. Softw..

[79]  Robert Chapman,et al.  ICTs and rural development: review of the literature, current interventions and opportunities for action , 2002 .

[80]  Frank van Harmelen,et al.  A semantic web primer , 2004 .

[81]  Petr Havlik,et al.  African Livestock Futures: Realizing the potential of livestock for food security, poverty reduction and the environment in Sub-Saharan Africa , 2014 .

[82]  Marco Acutis,et al.  A generic framework for evaluating hybrid models by reuse and composition - A case study on soil temperature simulation , 2014, Environ. Model. Softw..

[83]  E. E. Mitchell,et al.  Advanced Continuous Simulation Language (ACSL) , 1976 .

[84]  Dean Holzworth,et al.  The Common Modelling Protocol: A hierarchical framework for simulation of agricultural and environmental systems , 2007 .

[85]  Samuel Kotz,et al.  Beyond Beta: Other Continuous Families Of Distributions With Bounded Support And Applications , 2004 .

[86]  James W. Jones,et al.  How do various maize crop models vary in their responses to climate change factors? , 2014, Global change biology.

[87]  A. Rogers,et al.  Elevated CO2 effects on plant carbon, nitrogen, and water relations: six important lessons from FACE. , 2009, Journal of experimental botany.

[88]  A. Jellema,et al.  Mobiles for agricultural development : exploring trends, challenges and policy options for the Dutch government , 2014 .

[89]  Roberto O. Valdivia,et al.  New parsimonious simulation methods and tools to assess future food and environmental security of farm populations , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[90]  Andrea Emilio Rizzoli,et al.  Enriching software model interfaces using ontology-based tools , 2006 .

[91]  John M. Antle,et al.  Towards a new generation of agricultural system data, models and knowledge products , 2016 .

[92]  Kristin A. Cook,et al.  Illuminating the Path: The Research and Development Agenda for Visual Analytics , 2005 .

[93]  Russ B. Altman,et al.  Environmental and State-Level Regulatory Factors Affect the Incidence of Autism and Intellectual Disability , 2014, PLoS Comput. Biol..

[94]  James W. Jones,et al.  The DSSAT cropping system model , 2003 .

[95]  Peter C. Young,et al.  Uncertainty , sensitivity analysis and the role of data based mechanistic modeling in hydrology , 2006 .

[96]  Elizabeth A. Ainsworth,et al.  Quantifying the effects of ozone on plant reproductive growth and development , 2012 .

[97]  James W. Jones,et al.  Cropping Systems Modeling in AgMIP: A New Protocol-Driven Approach for Regional Integrated Assessments , 2015 .

[98]  James W. Jones,et al.  The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies , 2013 .

[99]  A. Nekrutenko,et al.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences , 2010, Genome Biology.

[100]  O. Phillips,et al.  ForestPlots.net: a web application and research tool to manage and analyse tropical forest plot data , 2011 .

[101]  Ir Noble,et al.  Computer simulations of sheep grazing in the arid zone. , 1976 .

[102]  R. Muñoz‐Carpena,et al.  MODEL RELEVANCE Frameworks for Exploring the Complexity-Sensitivity-Uncertainty Trilemma , 2011 .

[103]  Jeffrey W. White,et al.  Methodologies for simulating impacts of climate change on crop production , 2011 .

[104]  M. Herreroa,et al.  Integrated crop – livestock simulation models for scenario analysis and impact assessment , 2001 .

[105]  Bertram Ludäscher,et al.  Kepler: an extensible system for design and execution of scientific workflows , 2004, Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004..