Using "system of systems" approach to monitor and model every farmland on our planet

Abstract:

In this talk, I will share how we use a variety of technologies to develop "system of systems" approach to monitor and model field-level dynamics of carbon, nutrient, and water cycles, from aboveground condition to belowground characteristics, to advance our understanding and monitoring capability of farmland productivity and sustainability. The involved technologies include satellite/airborne remote sensing, process-based modeling, machine learning, extensive field sampling, and supercomputing. We ultimately use advanced mathematical tools to integrate different sources of data and models together to infer farmland metrics. We aspire to develop the solution to monitor and model every farmland on our planet.