A Digital Twin Enabled Internet of Living Things (IoLT) Framework for Soil Carbon Management

Due to the lack of cost-effective methods for soil carbon content accounting, soil carbon emissions cannot be managed properly for a long time. The traditional methods are labor intensive which usually need tedious preprocessing and expensive analyzers to quantify the total soil carbon content. In this paper, we propose that a Digital Twin with AIoLT framework could perfectly solve the challenge mentioned above. By using an AIoLT-enabled proximity radar sensor to measure soil carbon content in real-time, our proposed soil carbon management digital twin (SCMDT) has the ability to deal with these soil carbon data to be "smart" big data, which are from mission-aware sampling strategies. We also provide an evaluation metric for our proposed SCMDT in order to quantify its performance.