Soil management to sustain it, is one the most important options to promote agroecosystems sustainable productivity. Unfortunately, lack of information on the distribution patterns of soil nutrients is one of the main problems which face the lands to degradation. Annually, intensive cultivation activities are done to incorporate nutrients with soil, especially in high-input crops such as wheat and soybean, while many parts of lands don’t need to add fertilizers especially in the time of seedbed preparation stage. Precision management of nutrients needs informative maps which show the distribution pattern of fertilizers. In this study, a field divided to different parcels with 51 points throughout the field. These points were sampled to determine pH, Ca, and Mg content. The data were used to interpolate aforementioned nutrients contents in the study field. Digital elevation model (DEM) was provided from 1/25000 maps and Spline method was used to interpolate nutrient contents. Our results showed that different zones are detectable in respect to reclassified nutrient layers. This showed that in these zones the nutrients deficiency could be calculated to provide them in sufficient levels for different crops. This can help us to reduce the frequency of cultivation practices to incorporate fertilizers witch disposes the land to degradation. The level of nutrients showed that we can neglect pre-sowing cultivation practices to incorporate fertilizers. In this study, all measured nutrient were classified in raster format to calculate fertilizers recommendations.

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