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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Hydro-economic models: concepts, design, applications, and future prospects.
Julien J. Harou,Manuel Pulido-Velazquez,David E. Rosenberg,Josué Medellín-Azuara,Jay R. Lund,Richard E. Howitt +5 more
TL;DR: This paper identifies the key steps in model design and diverse problems, formulations, levels of integration, spatial and temporal scales, and solution techniques addressed and used by over 80 hydro-economic modeling efforts dating back 45 years from 23 countries.
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Mathematical Tools for Understanding Infectious Disease Dynamics
TL;DR: Mathematical Tools for Understanding Infectious Disease Dynamics as discussed by the authors, Mathematical tools for understanding Infectious disease Dynamics, Mathematical Tools to understand Infectious Diseases Dynamics, کتابخانه الکرونیک و دیجیتال - آذرسا
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Insect resistance management in GM crops: past, present and future
TL;DR: Eight years without resistance provides a timely opportunity for researchers, regulators and industry to reassess the risk of resistance and the most effective strategies to preserve Bt and other novel insect-resistant crops in development.
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How Do Various Maize Crop Models Vary in Their Responses to Climate Change Factors
Simona Bassu,Nadine Brisson,Jean-Louis Durand,Kenneth J. Boote,Jon I. Lizaso,James W. Jones,Cynthia Rosenzweig,Alex C. Ruane,Myriam Adam,Christian Baron,Bruno Basso,Bruno Basso,Christian Biernath,H.L. Boogaard,Sjaak Conijn,Marc Corbeels,Delphine Deryng,Giacomo De Sanctis,Sebastian Gayler,Patricio Grassini,Jerry L. Hatfield,Steven Hoek,Cesar Izaurralde,R.E.E. Jongschaap,Armen R. Kemanian,K. Christian Kersebaum,Soo-Hyung Kim,Naresh S. Kumar,David Makowski,Christoph Müller,Claas Nendel,Eckart Priesack,Maria Virginia Pravia,Federico Sau,Iurii Shcherbak,Iurii Shcherbak,Fulu Tao,Edmar Teixeira,Dennis Timlin,Katharina Waha +39 more
TL;DR: The largest maize crop model intercomparison to date, including 23 different models, is presented, suggesting that using an ensemble of models has merit and there was a large uncertainty in the yield response to [CO2 ] among models.
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