The researchers investigated how fractal models can help estimate soil water retention curves to improve water and soil management. They collected soil samples from different agricultural areas and measured various properties like particle size and retention curves. The results showed that the finer the soil texture, the higher the fractal dimension. The Tyler-Wheatcraft model had the lowest fractal dimension in loamy sand and the highest in clay. The van Genuchten model was the most accurate in estimating retention curves for different soil textures compared to other models like Brooks-Corey. Overall, fractal models can be useful in predicting soil water retention, especially in soils with varying textures.