Information about soil texture and moisture content are necessary for cultivation, hydrology, hydrogeology and geotechnical engineering. Spectral Induced Polarization (SIP) is a promising non-invasive geophysical method for assessing soil properties critical to hydrology, agriculture, and geotechnical engineering. This study evaluates the efficiency of SIP in estimating soil texture and moisture content across varying saturation levels in semi-arid environments. Measurements were conducted over a frequency range of 0.0005 Hz to 100 kHz, using controlled laboratory experiments of dry to wet sand synthetic samples. SIP method is useful for monitoring soil humidity and moisture. The electrical characteristics of soil are influenced by water, leading to alterations in impedance spectra. Results indicate strong correlations between water content and SIP parameters, particularly quadrature conductivity, phase angle, and chargeability. With increasing water content, the resistivity decreases with good separation response below 100 Hz while the imaginary conductivity increases. In addition to the phase shift between current and potential response become closer, then starting to become wider, so it's made the phase shift decrease then increase. In the context, chargeability decreases as the conduction passes increase between grains so the storage energy transport via these passes' links increases. The findings demonstrate the potential of SIP for soil monitoring, contributing to enhanced agricultural productivity. In addition to considering soil texture characteristics and sustainable soil management practices.