Soil fertility is the backbone of agricultural productivity, yet its spatial variability across farms and landscapes is rarely captured by conventional methods. Geospatial technologies namely Remote Sensing (RS), Geographic Information System (GIS) and Global Positioning System (GPS) offers a powerful mean to map soil nutrient status with precision and efficiency. These tools help identify nutrient deficient and nutrient rich zones within fields enabling a farmer to apply fertilizers only where they are needed. Vegetation indices like NDVI, derived from satellite and drone imagery also help in monitoring crop health and irrigation efficiency in real time. Although challenges such as high costs and technical complexity remain, advances in artificial intelligence, drones and machine learning are making these technologies increasingly accessible for the farmers.