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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Fourth Indian International Conference on Artificial Intelligence (IICAI-09) |
| Editors | Bhano Prasad, Pawan Lingras, Ashwin Rau |
| Place of Publication | India |
| Publisher | Indian International Conference on Artificial Intelligence (IICAI) |
| Pages | 1114-1123 |
| ISBN (Print) | 9780972741279 |
| Publication status | Published - 2009 |
| Event | IICAI 2009: 4th Indian International Conference on Artificial Intelligence - Tumkur, India Duration: 16 Dec 2009 → 18 Dec 2009 |
Conference
| Conference | IICAI 2009: 4th Indian International Conference on Artificial Intelligence |
|---|---|
| City | Tumkur, India |
| Period | 16/12/09 → 18/12/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Keywords
- Agricultural Land Management
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