Understanding the role of natural drivers in greenhouse gas (GHG) emitted by agricultural soils is crucial because it contributes to selecting and adapting acceptable eco-friendly farming practices. Hence, Syngenta Ltd. collaborating with researchers, aimed to investigate the effect of two tillage treatments, conventional-tillage (CT) and minimum-tillage (MT) on soil carbon dioxide (CO₂) emissions. The research field is in Hungary. Soil columns were derived from different tillage systems to monitor the soil CO2 emissions under laboratory conditions. The soil penetration resistance was measured, and soil samples were also taken to determine total organic carbon (TOC). The moisture replenishment was performed equal to the degree of weekly theoretical evapotranspiration. The emissions of soil columns were measured every other day for five weeks, in 3 repetitions at room temperature. The data were evaluated by correlation analysis and a two-sample t-test at a significance level of p<0.05. The combined effect of soil and environmental factors on soil CO₂ emissions was investigated using stepwise multiple linear regression with a backward selection technique. The soil CO₂ emissions were significantly higher in the MT system compared to the CT system. Medium to strong negative correlations were found between the soil CO₂ emissions and relative humidity (r=-0.68 to -0.80), while the analysis showed a medium to a strong positive correlation between soil CO₂ emissions and moisture content (r=0.63 to 0.92). The analysis of the interaction of the observed factors and soil CO₂ emissions indicated significant differences at the different parts of the slope. At the bottom of the slope, the model based on TOC, air pressure and soil penetration resistance explained 85% of the fitted data. At the middle of the slope, the model including air temperature and pressure and TOC explained 99,8% of the fitted data. At the top of the slope, air temperature and pressure were the basis of the model that explained 75% the of fitted data. These observations highlighted the importance of monitoring different soil factors, which allows a site-specific approach for modelling soil CO₂ emissions in different parts of the field.