A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms.

Overall, the highly significant p -values (all p < 0.001) indicate that the spatial patterns in the dataset are not random, confirming the presence of structured spatial dependence across the study area.

also in 132,142 other papers