The researchers found a way to predict soil nutrient levels more accurately by studying plots with nutrient deficiencies. By using these plots as a model, they were able to improve soil nutrient-supply potential while reducing the need for fertilizers. This method resulted in a more than 90% accuracy in forecasting soil nutrient-supply, which can help farmers make better decisions about fertilization practices.