Dr. Qi Yang

I'm currently a postdoctoral researcher at the University of Minnesota. The broad scope of my research interests is in modeling agroecosystem carbon cycle, decoding plant traits and carbon & water cycle components from multi-sources remote sensing data, and improving the regional agroecosystem modeling via knowledge-guided machine learning, data assimilation, and digital twin technology. I am currently working on improving agroecosystem carbon & water cycle simulation by integrating prior knowledge into the deep neural network, as well as UAV-based agricultural digital twin. My research addresses fundamental questions encompassing how crop growth should be monitored and modeled, and how data-driven methods and prior knowledge can help constrain the physical process-based model for better prediction and decision-making.