Remotely piloted aircraft for monitoring greenhouse gases in dairy production systems

The monitoring of greenhouse gas (GHG) emissions in dairy cattle facilities is essential for understanding and mitigating the environmental impact of livestock farming. Among the main gases emitted in dairy production systems, methane (CH4) and carbon dioxide (CO2) play significant roles in global warming. The objective of this research was to evaluate the spatial variability of CH4 (ppm) and CO2 (ppm) concentrations, as well as environmental variables (drybulb temperature, tdb, °C, and relative humidity, RH, %), in a compost barn dairy production system. For gas concentration monitoring, an electrochemical sensor was used for CH4 and a non–dispersive infrared (NDIR) sensor for CO2. For the environmental variables, a Hobo®MX2301A datalogger was used, and both pieces of equipment were attached to a remotely piloted aircraft (RPA), the DJI Matrice 350. Measurements were carried out over three days, with flights conducted over the facility's roof. The data obtained were analysed using geostatistics to characterise spatial variability of the GHG. A strong spatial dependence was observed in gas concentrations and environmental variables. The highest concentrations of CH4 (129–134.4 ppm) and CO2 (434–479 ppm) were recorded on the first day. Tdb ranged between 24.2 °C and 32 °C, while RH fluctuated between 38.8% and 68%. The use of RPA proved to be an efficient tool for GHG monitoring, allowing the identification of spatial distribution patterns. This technology provides a novel approach to measuring GHG emissions, addressing the environmental challenges of the agricultural sector.