New soil moisture predictions revolutionize farming practices in Zimbabwe!
Researchers studied soil samples from Zimbabwe to predict moisture levels at different depths. They found that the amount of clay, sand, and organic matter in the soil affects its moisture content. By using regression equations, they were able to accurately predict moisture levels based on soil composition and density. Increasing the number of parameters in the models improved the accuracy of the predictions.