The estimation of nutritional elements has great importance in the management of a crop, which allows improving the fertilization processes in specific areas that have nutritional deficiencies. A non-destructive method for the detection of N is based on the use of sensors that measure the reflection of the leaves, which are affected by the concentration of chlorophyll, which sometimes appear as an indicator of N concentration in the leaf. In this study we present the preliminary results of the evaluation of the potential of a multispectral five-band camera (blue, green, red, red-edge and NIR) to perform a discrimination between different treatments. Additionally, the ability of these indexes to correlate with Nitrogen and with SPAD measurements taken in the field was studied. As a result of this study, it was found that the index that presented the best performance was the CVI with a correlation coefficient of 0.47, being very similar to that found with the relationship between SPAD and N, which presented a correlation of 0.49. It is concluded that the indices evaluated have the capacity to discriminate 6 types of treatment, finding a more significant contrast between the treatments (0% N) and a nitrogen source of 100%.