Relationships between air relative humidity and soil temperature in open-field tomato production
¹Agricultural University of Plovdiv, 12 Mendeleev Blvd, BG4000 Plovdiv, Bulgaria
²Trakia University, Faculty of agriculture, Department of Agricultural Engineering, Student City, BG6000 Stara Zagora, Bulgaria
*Correspondence: galina_jam@yahoo.com
Abstract:
Understanding microclimatic interactions between atmospheric and soil parameters is essential for precision agriculture and irrigation management. The present study evaluated the relationships between air temperature, relative humidity, soil temperature, and soil moisture under open-field tomato production using a portable ESP32-based monitoring system. Measurements were conducted at ten field points with three replicates per point (n = 30). Descriptive statistics indicated relatively stable environmental conditions during the observation period. Pearson correlation analysis revealed a statistically significant inverse relationship between air relative humidity and soil temperature (r = -0.376, p = 0.040), while no significant linear relationships were observed between the remaining variables (p > 0.05). Linear regression analysis confirmed that increasing air relative humidity was associated with decreasing soil temperature (R² = 0.142, p = 0.040), although the explanatory power of the model remained limited. Validation against a Meteobot® reference weather station demonstrated high accuracy of soil temperature measurements (relative error 0.74%) and acceptable performance for soil moisture (6.28%). The results indicate that low-cost IoT-based monitoring systems can reliably capture microclimatic interactions under field conditions and support their application in precision agriculture.
Key words:
air humidity, microclimate monitoring, regression analysis, soil temperature