The study aimed to improve land and water use efficiency and to determine the profitability of precision farming practices environmentally and economically against traditional farming practices. The conclusions drawn from this study indicate that, precision agriculture offers the potential to automate and simplify the collection and analysis of information. It allows management decisions to be made and quickly implemented on management zones within the fields. Maize was receptive crop to PF when controlling the variable input of fertilizers, water consumption and management practices. NDVI has been found to be correlated significantly to the yield of crops as at different critical periods the correlation between NDVI and yield was highly significant. NDVI could express the biomass so far and also could define the management zone perfectly. Soils with much variability seemed to be more responsive to management practices, i.e. optimum fertilizers input in each zone, water consumption and vertical drainage in the scattered spots of subsurface shale layers. Economic and environmental profitability of PF has been achieved by potentially reducing input costs, increasing yields, and reducing environmental impacts (excessive water and fertilizers) through better matching inputs applied to crop needs. Remote sensing has proved that it is a promising tool for determining water consumption use especially in those areas that are not covered by meteorological stations i.e. Sahara. Finally it is worthy to say PF is essential economically by improving revenues or cash flow and environmentally through reducing input losses and increasing nutrient uptake efficiency.