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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Bruno Notarnicola,Serenella Sala,Assumpció Antón,Sarah J. McLaren,Erwan Saouter,Ulf Sonesson +5 more
TL;DR: In this article, the authors discuss the challenges for life cycle assessment arising from the complexity of food systems, and recommend research priorities for both scientific development and improvements in practical implementation, including addressing issues related to: the distinction between technosphere and ecosphere; the most appropriate functional unit; the multi-functionality of biological systems; and the modelling of the emissions and how this links with life cycle impact assessment.
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Applications of the SWAT Model Special Section: Overview and Insights.
TL;DR: This special collection presents 22 specific SWAT-related studies, most of which were presented at the 2011 SWAT Conference, and represents SWAT applications on five different continents, with the majority of studies being conducted in Europe and North America.
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Models for navigating biological complexity in breeding improved crop plants
Graeme Hammer,Mark E. Cooper,François Tardieu,Stephen Welch,Bruce Walsh,Fred A. van Eeuwijk,Scott Chapman,Dean Podlich +7 more
TL;DR: Modelling approaches for complex traits at gene network, organ and whole plant levels provide a means to link phenotypic consequence to changes in genomic regions via stable associations with model coefficients.
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GRAZPLAN: Decision support systems for Australian grazing enterprises—II. The animal biology model for feed intake, production and reproduction and the GrazFeed DSS
TL;DR: GrazFeed is a discrete package that uses the same procedures for predicting feed intake and productivity within a tactical decision support system to help graziers to assess the feeding value of specified pastures and the need for the supplementary feeding of different classes of grazing animals.
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Identification of the inverse relationship between farm size and productivity: an empirical analysis of peasant agricultural production
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