Scientists studied soil water content over 1282 days using neural networks and soil properties. They found that water content can be predicted accurately using neural networks based on soil properties or hydraulic parameters. Rainfall data alone was not enough for accurate predictions. Once trained, the networks could predict water content beyond the training period using observations from just one location.