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APSIM e Evolution towards a new generation of agricultural systems simulation

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Title APSIM e Evolution towards a new generation of agricultural systems simulation
 
Creator Holzworth, Dean
 
Contributor Huth, Neil
deVoil, Peter
Zurcher, Eric
Herrmann, Neville
McLean, Greg
Chenu, Karine
Van Oosterom, Erik
Snow, Val
Murphy, Chris
Moore, Andrew
Brown, Hamish
Whish, Jeremy
Verrall, Shaun
Fainges, Justin
Bell, Lindsay
Peake, Allan
Poulton, Perry
Hochman, Zvi
Thorburn, Peter
Gaydon, Donald
Dalgliesh, Neal
Rodriguez, Daniel
Cox, Howard
Chapman, Scott
Doherty, Alastair
Teixeira, Edmar
Sharp, Joanna
Cichota, Rogerio
Vogeler, Iris
Li, Frank
Wang, Enli
Hammer, Graeme
Robertson, Michael
Dimes, John
Whitbread, Anthony
Hunt, James
van Rees, Harm
Hargreaves, John
McLeod, Neil
McDonald, Cam
Harsdorf, Justin
Wedgwood, Sara
Keating, Brian
 
Subject apsim
gene-to-phenotype model
crop
 
Description Agricultural systems models worldwide are increasingly being used to explore options and solutions for
the food security, climate change adaptation and mitigation and carbon trading problem domains. APSIM
(Agricultural Production Systems sIMulator) is one such model that continues to be applied and adapted
to this challenging research agenda. From its inception twenty years ago, APSIM has evolved into a
framework containing many of the key models required to explore changes in agricultural landscapes
with capability ranging from simulation of gene expression through to multi-field farms and beyond.
Keating et al. (2003) described many of the fundamental attributes of APSIM in detail. Much has
changed in the last decade, and the APSIM community has been exploring novel scientific domains and
utilising software developments in social media, web and mobile applications to provide simulation tools
adapted to new demands.
This paper updates the earlier work by Keating et al. (2003) and chronicles the changing external
challenges and opportunities being placed on APSIM during the last decade. It also explores and discusses
how APSIM has been evolving to a “next generation” framework with improved features and
capabilities that allow its use in many diverse topics.
 
Date 2014-07-15
2017-01-05T19:44:14Z
2017-01-05T19:44:14Z
 
Type Journal Article
 
Identifier https://mel.cgiar.org/reporting/download/hash/FRfZTRP2
Dean Holzworth, Neil Huth, Peter deVoil, Eric Zurcher, Neville Herrmann, Greg McLean, Karine Chenu, Erik Van Oosterom, Val Snow, Chris Murphy, Andrew Moore, Hamish Brown, Jeremy Whish, Shaun Verrall, Justin Fainges, Lindsay Bell, Allan Peake, Perry Poulton, Zvi Hochman, Peter Thorburn, Donald Gaydon, Neal Dalgliesh, Daniel Rodriguez, Howard Cox, Scott Chapman, Alastair Doherty, Edmar Teixeira, Joanna Sharp, Rogerio Cichota, Iris Vogeler, Frank Li, Enli Wang, Graeme Hammer, Michael Robertson, John Dimes, Anthony Whitbread, James Hunt, Harm van Rees, John Hargreaves, Neil McLeod, Cam McDonald, Justin Harsdorf, Sara Wedgwood, Brian Keating. (15/7/2014). APSIM e Evolution towards a new generation of agricultural systems simulation. Environmental Modelling & Software, 62, pp. 237-350.
https://hdl.handle.net/20.500.11766/5345
Limited access
 
Language en
 
Rights CC-BY-NC-4.0
 
Format PDF
 
Publisher Elsevier
 
Source Environmental Modelling & Software;62,(2014) Pagination 237,350