Researchers from The University of Western Australia and the University of California have developed a new machine-learning tool that will improve the management, restoration and irrigation of rangeland areas used for grazing.
Associate professor Sally Thompson from the UWA School of Engineering and UWA Institute of Agriculture says the tool was suited to environments where the amount of rainfall exceeded the absorption capacity of the soil, resulting in the excess water flowing over the land.
The new machine learning tool models surface water flows in dry environments with patchy vegetation cover.
The findings have significant implications for agricultural and natural systems in Australia and worldwide.
"The research could help environmental designers limit soil erosion in rangeland environments and agricultural systems, minimising degradation risks in drylands," says Sally.