Optimization for Read Range of Low Frequency RFID System

In this research, all situations where a low-frequency Radio Frequency Identification system would be presented during field utilization were simulated, and observations were taken for the variation in the read range of the Radio Frequency Identification system under such conditions. The optimization ofits read range was carried out in the presence of three different soils: sandy soil.clay, and silt. The Response Surface Methodology method was used during test execution to determine the best possible settings for the input parameters, i.e.,environmental temperature (15°C to 50°C), relative humidity (35% to 70
^%
), soil layer thickness (Omm to 90mm), and soil grain size (0.45-2 mm) between the radio frequency identification tag and reader to obtain the best possible value of the radio frequency identification system read range in the presence of all three soils. Optimum conditions were achieved at a temperature of 25.13°C, relative humidity of 36.22%, soil grain size of 1.90 mm, and soil layer thickness of zero mm, and the read range of the Radio Frequency Identification System in the presence of clay.silt, and sandy soil were found to be 118.91mm, 118.15mm, and 118.08mm respectively. ANOVA R2 values were found to be 99.52%, 98.03%, and 98.49%. The desirability of the model was seen to be unity, which means the model prediction is accurate.