Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science
James W. Jones,John M. Antle,Bruno Basso,Kenneth J. Boote,Richard T. Conant,Ian Foster,H. Charles J. Godfray,Mario Herrero,Richard E. Howitt,Sander Janssen,Brian Keating,Rafael Muñoz-Carpena,Cheryl H. Porter,Cynthia Rosenzweig,Tim Wheeler +14 more
TLDR
It is concluded that multiple platforms and multiple models are needed for model applications for different purposes, and the Use Cases provide a useful framework for considering capabilities and limitations of existing models and data.About:
This article is published in Agricultural Systems.The article was published on 2017-07-01 and is currently open access. It has received 251 citations till now. The article focuses on the topics: Systems science & Information system.read more
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Journal ArticleDOI
Brief History of Agricultural Systems Modeling
James W. Jones,John M. Antle,Bruno Basso,Kenneth J. Boote,Richard T. Conant,Ian Foster,H. Charles J. Godfray,Mario Herrero,Richard E. Howitt,Sander Janssen,Brian Keating,Rafael Muñoz-Carpena,Cheryl H. Porter,Cynthia Rosenzweig,Tim Wheeler +14 more
TL;DR: The history of agricultural systems modeling is summarized and lessons learned are identified that can help guide the design and development of next generation of agricultural system tools and methods.
Book ChapterDOI
Principles of Systems
TL;DR: The feedback mechanism involved in all principles for artificial learning refers back to the notion of the control-circuit, which serves as a basis for the analysis and the design of feedback-control systems.
Journal ArticleDOI
A comparison of global agricultural monitoring systems and current gaps
Steffen Fritz,Linda See,Juan Carlos Laso Bayas,François Waldner,François Waldner,Damien Christophe Jacques,Inbal Becker-Reshef,A. K. Whitcraft,Bettina Baruth,Rogerio Bonifacio,Jim Crutchfield,Felix Rembold,Oscar Rojas,Anne Schucknecht,Marijn van der Velde,James P. Verdin,Bingfang Wu,Nana Yan,Liangzhi You,Sven Gilliams,Sander Mücher,Robert Tetrault,Inian Moorthy,Ian McCallum +23 more
TL;DR: This paper provides an overview of the eight main global and regional scale agricultural monitoring systems currently in operation and compares them based on the input data and models used, the outputs produced and other characteristics such as the role of the analyst, their interaction with other systems and the geographical scale at which they operate.
Journal ArticleDOI
Introducing digital twins to agriculture
TL;DR: The extent of digital twin adoption in agriculture is examined, light is shed on the concept and the benefits it brings, and an application-based roadmap for a more extended adoption is proposed.
References
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Examples of strategies to analyze spatial and temporal yield variability using crop models
TL;DR: In this paper, the authors present several strategies that can be used in using point-based crop growth models to assess spatial and temporal yield variability over different environmental conditions and to analyze economic return of prescriptions.
Journal ArticleDOI
Optimization of California's Water Supply System: Results and Insights
Marion W. Jenkins,Jay R. Lund,Richard E. Howitt,Andrew J. Draper,Siwa Msangi,Stacy K. Tanaka,Randall S. Ritzema,Guilherme Fernandes Marques +7 more
TL;DR: In this article, the authors present results of a large-scale economic-engineering optimization model of California's water supply system, which illustrates the value of optimization modeling for providing integrated information needed to manage a complex multipurpose water system.
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A dynamic model of bovine tuberculosis spread and control in Great Britain
TL;DR: A dynamic stochastic spatial model for bovine TB in Great Britain that combines within-farm and between-farm transmission is presented, which replicates the observed annual increase of infection over time as well as the spread of infection into new areas.
Journal ArticleDOI
Integrated crop-livestock simulation models for scenario analysis and impact assessment
TL;DR: This work outlines a framework for the integration of detailed biophysical crop and livestock simulation models, highlighting the need for minimum calibration and validation data sets, and concludes by listing various research problems that need attention.
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