Soil nutrients vary across fields due to factors like soil type and climate. Different methods, like geostatistics and neural networks, are used to predict these variations. Geostatistics can map soil nutrient variability but has limitations. Neural networks and high accuracy models improve accuracy but have drawbacks. Geographical information technology can predict soil nutrient variability but with some uncertainty. Future research should focus on understanding soil nutrient changes during crop growth and environmental uncertainties.