Nutrient management has played a crucial role in achieving self sufficiency in food grain production. Energy crisis resulted in high price index of chemical fertilizers. Coupled with their limited production, fertilizer cost, soil health, sustainability and pollution have gave rise to interest in precision nutrient management tools. Field experiment was conducted to study the effect of variety and nutrient management on the growth and productivity of maize under lateritic belt of West Bengal during kharif season of 2013 at the farmers’ field located in Birbhum district of West Bengal, on sandy loam lateritic soil having low fertility status and acidic reaction (pH5.6). The experiment  consisted  of  the  five  levels  of  fertilizer i.e,   F1= control, F2=  state   recommendation (150:75:75),F3= nutrient expert (120:34:51),F4=farmers practices (80:40:40),and F5= Basal application of 50:75:75 with split N application on basis of LCC, and two level of varieties viz.,V1= Rajkumar,V2= Sona, thus making ten treatment combinations, which were replicated thrice and was laid out in randomized block design(RBD). The “Nutrient Expert” is a Decision support tool developed by IPNI (International Plant Nutrition Institute) & CIMMYT. The values for growth parameter like plant height, length and girth of cob, number of cob per plant, harvest index were observed. It was the found that the growth parameter as well as yield component and yield were significantly affected by different level of fertilizer and different varieties.  The result indicated that different schedules of fertilizer expressed significant effect on plant height, cob girth and length, grain per cob, grain weight per cob, test weight, Maize grain yield and stover yield at harvest. It was found that the application of split N on the basis of LCC gave highest yield and yield parameter values. The application of nutrient on the basis of recommendation obtained from the decision support system like “Nutrient expert” also proved satisfactory. The gross return, net return and Benefit: cost ratio indicated that the application of nutrients on basis of nutrient expert recommendation proved economically more remunerative.