Analyzing the Applicability of ML Powered Microwave Sensor for UAV Based CH4 Sensing

In solid waste management, the Methane (CH4) gas generation needs to be monitored and assessed for environmental protection prevent CH4 atmospheric dispersion over dwelling regions near dump yards. Traditional methods using sensors measures only concentration at different height never modelled or predict circulation in atmosphere. Moreover, every yard based on microclimatic conditions human safety protection. this paper an Unmanned Aerial Vehicle (UAV) based, of is CH4. The are through X-Band Bi-Static microwave transceiver sensor Machine Learning (ML) Algorithm-Multi Linear Regression (MLR). RADAR’s reflected signals from gas, whereas RADAR fixed UAV. mounted UAV sense heights municipal located Thiruninravur, Tamil Nadu, India. A three-days; six-hours field results, shows proposed UAV-RADAR prediction CH4, performs better range 250-800 ppm concentration. system tracing lower atmosphere validated analytical conditions.