Journal article
A Bayesian network approach to knowledge integration and representation of farm irrigation: 1. Model devlopement
QJ Wang, DE Robertson, CL Haines
Water Resources Research | Published : 2009
DOI: 10.1029/2006WR005419
Abstract
Irrigation is important to many agricultural businesses but also has implications for catchment health. A considerable body of knowledge exists on how irrigation management affects farm business and catchment health. However, this knowledge is fragmentary; is available in many forms such as qualitative and quantitative; is dispersed in scientific literature, technical reports, and the minds of individuals; and is of varying degrees of certainty. Bayesian networks allow the integration of dispersed knowledge into quantitative systems models. This study describes the development, validation, and application of a Bayesian network model of farm irrigation in the Shepparton Irrigation Region of n..
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Funding Acknowledgements
The funding for this work was provided by the Victorian Government Water for Growth Initiative through the Goulburn Broken Catchment Management Authority and the Department of Sustainability and Environment. The authors would like to gratefully acknowledge Ken Sampson, David Lawler, and other interviewees for their contribution to the development and validation of the farm irrigation systems model.