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Modelling the manager: Representing rule-based management in farming systems simulation models

Moore, Andrew D. and Holzworth, Dean P. and Herrmann, Neville I. and Brown, Hamish E. and de Voil, Peter G. and Snow, Valerie O. and Zurcher, Eric J. and Huth, Neil I. (2014) Modelling the manager: Representing rule-based management in farming systems simulation models. Environmental Modelling & Software, 62 . pp. 399-410. ISSN 1364-8152

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Article Link(s): http://dx.doi.org/10.1016/j.envsoft.2014.09.001

Publisher URL: http://www.sciencedirect.com/science/article/pii/S1364815214002540

Abstract

We trace the evolution of the representation of management in cropping and grazing systems models, from fixed annual schedules of identical actions in single paddocks toward flexible scripts of rules. Attempts to define higher-level organizing concepts in management policies, and to analyse them to identify optimal plans, have focussed on questions relating to grazing management owing to its inherent complexity. “Rule templates” assist the re-use of complex management scripts by bundling commonly-used collections of rules with an interface through which key parameters can be input by a simulation builder. Standard issues relating to parameter estimation and uncertainty apply to management sub-models and need to be addressed. Techniques for embodying farmers' expectations and plans for the future within modelling analyses need to be further developed, especially better linking planning- and rule-based approaches to farm management and analysing the ways that managers can learn.

Item Type:Article
Business groups:Crop and Food Science
Keywords:Simulation Management Agricultural systems Rules APSIM GRAZPLAN
Subjects:Science > Statistics > Simulation modelling
Agriculture > Agriculture (General) > Farm economics. Farm management. Agricultural mathematics
Deposited On:21 Jan 2015 02:10
Last Modified:21 Jan 2015 02:10

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