Precise agriculture has great potential to provide more productive and sustainable agricultural production. The principle of precision agriculture is to collect information of high countability and then use the data obtained to adapt to these differences. Demands for feed quality in precision agriculture are difficult to determine through classical analytical methods. In the monitored localities of Troubsko and Hrušovany nad Jevišovkou, alfalfa seed was evaluated in operational experiments in 2019 in terms of nutritional values. Meat samples were taken from these localities in 3 sections and nutritional values (dry matter, NL, NDF, ADF, ash) were determined in laboratories using chemical and NIRs analyzes. Calibration models represent for more accurate in time determinations using AgriNIRs for alfalfa