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Particulate matter is one of the major air pollutants that challenge the environment and human health. In this study, we used an unmanned aerial vehicle associated with smart, low-cost sensors to record the vertical profiles of particulate matters (PM₁₀/PM_2.5/PM₁), carbon dioxide, and formaldehyde in a rural area of southern India. Our study covered the surface to 60 m above the ground level compiling data over twenty days of measurements in March 2021. A total of thirty flights were performed in the five selected locations. The data show a decrease in air pollutant concentration with increasing height from the surface. However, statistical data analysis through CHAID Decision Trees and 3-D visualization of the relationship between the pollutants and the height, RH, and temperature show that the concentration of pollutants is more strongly influenced by the location and meteorological parameters rather than the …