One of the most commonly used sensing technologies to characterize soil spatial variability is on-the-go measurement of the apparent electrical conductivity (EC_a). When properly calibrated to conventional soil properties, EC_a measurements can help to create thematic soil maps that represent the variability of soil characteristics. Then, these maps, after reclassification, can be used for the creation of prescription maps for variable application of agricultural inputs, to increase their use efficiency. In the absence of salinity, EC_a is strongly responsive to soil texture (ST), which is more stable over time than chemical soil properties. However, the temporal stability of soil EC_a on commercial fields has not been investigated in Poland, which has a wide representation of very light and light soils. In our country, four soil agronomic categories (ACs) were distinguished, and they are derived from information on the content of fine particles (FPs, <0.02mm) in the soil. ACs have been used for the formulation of lime and fertilizer recommendations in our country and they are typically assigned through laboratory determinations of fine particle content or derived from soil agricultural maps. But, none of these approaches allows for the delineation of soil ACs with high spatial density required for the creation of maps for variable application of agricultural inputs. The objectives of the study were to: i) evaluate spatial and temporal variability of relative EC_a values registered at two depths (0–30 and 0–90 cm), during eight EC_a surveys for a commercial field of predominantly very light and light soils; ii) delineate soil ACs for this field based on the relationship between EC_a values registered during two surveys done in a 10-year time interval, and fine particle content. The production field was characterized by high EC_a spatial variability and stable temporal EC_a patterns, suggesting that a single measurement of this soil property could be sufficient to delineate maps of soil physical characteristics strongly related to EC_a on very light and light soils. A strong relationship between the relative EC_sh values from 2013 and 2023, and fine soil particles allowed the creation of very similar maps of ACs, which may be used for formulating fertilizer and lime recommendations on fields covered with the above-mentioned types of soils. The soil ACs patterns were less repeatable across years (2013 vs. 2023), but acceptable for map generalization when the EC_dp values were used for the prediction of FPs content from a thicker soil layer (0–90 cm). However, the wider application of achieved relationships may require field-specific calibrations of EC_a values to ensure better accuracy of the delineated AC maps because this study was performed in a single production field.