Moisture content determination inside grains is essential for grain processing activities, including harvesting, storing, inspecting, and transporting. Here, microstrip and metamaterial embedded patch sensors were developed to determine the moisture content and mean relative error (MRE) of rice, wheat, and pulse. The sensors were simulated in HFSS and prototypes were fabricated and the measurement was done using VNA and anechoic chamber. Microstrip sensor was operating at frequency 5.2 GHz and metamaterial embedded sensor was operating at 4.5 GHz. Calibration equations were obtained using the values of reflection coefficients and moisture content ranging from 11.76% to 25%. For analyzing the efficacy of designed sensors, predicted moisture content and actual moisture content have been compared and the lowest mean relative error has been determined. The analysis shows that a metamaterial-embedded sensor has better sensitivity and accuracy than a microstrip sensor. The lowest mean relative error in moisture prediction for metamaterial sensor was 1.07% for rice, 1.13% for wheat, and 1.47% for pulse, respectively. Comparison of the proposed metamaterial embedded sensor with earlier designed sensor in literature was also presented in this work and it was found that the proposed sensor had more accuracy and sensitivity than earlier designs.