<p>This study investigates net radiation (Rn) across various agricultural sites in Brazil, focusing on the influence of local factors on energy balance. Analysis of Rn distribution during daytime and nighttime periods reveals variability among sites, with significant differences observed in measured Rn data. While daytime Rn reflects solar activities and atmospheric processes, nighttime Rn predominantly comprises longwave radiation emitted by the Earth, contributing to surface warming. Linear regression models between global radiation (Rg) and Rn demonstrate strong relationships during the day, whereas nighttime relationships exhibit greater variability. Comparisons with previous studies highlight the efficacy of Rg-based models for estimating Rn, particularly during the daytime. Statistical analyses confirm strong positive correlations between measured and estimated Rn values, with the K34 farm consistently demonstrating the best model fit. Validation results underscore the accuracy of Rn estimation methods, with high determination coefficients observed across study sites and periods. However, variations in accuracy between daytime and nighttime periods suggest the influence of specific environmental factors on radiation balance estimation. Overall, this study provides valuable insights into radiation balance in agricultural environments, emphasizing the importance of local factors in shaping energy fluxes.</p>