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|Title:||Selecting areas for land use change in a catchment||Contributor(s):||Dunstan, Neil (author); Armstrong, Leisa (author); Diepeveen, Dean (author)||Publication Date:||2009||Handle Link:||https://hdl.handle.net/1959.11/5274||Abstract:||Some farming areas in Australia have been degraded by agricultural practises that result in rises in the water table that bring salt to the surface and reduce quality of runoff water and yield from pasture and crops. There is a need for a balanced choice of land uses that can reduce the salinity problem. A framework is proposed that uses catchment data and a hydrology model to predict areas with high rates of recharge and to identify sites for land use change.||Publication Type:||Conference Publication||Conference Name:||Fourth Indian International Conference on Artificial Intelligence (IICAI-09), Tumkur, India, 16-18 December, 2009||Source of Publication:||Proceedings of the Fourth Indian International Conference on Artificial Intelligence (IICAI-09), p. 1114-1123||Publisher:||IICAI: Indian International Conference on Artificial Intelligence||Place of Publication:||India||Field of Research (FOR):||070101 Agricultural Land Management||Peer Reviewed:||Yes||HERDC Category Description:||E1 Refereed Scholarly Conference Publication||Other Links:||http://www.iiconference.org/schedule-ver4.pdf
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