Leveraging the Power of the Process-based Models, Machine Learning and Multisource Data: a Knowledge-Guided Data Assimilation Framework for Improving In-season Agroecosystem Prediction

Yang, Qi

Leveraging the Power of the Process-based Models, Machine Learning and Multisource Data: a Knowledge-Guided Data Assimilation Framework for Improving In-season Agroecosystem Prediction

Qi Yang¹, Licheng LIU¹, Junxiong Zhou², Kaiyu Guan³ and Zhenong Jin², (1)University of Minnesota-Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, United States, (2)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, United States, (3)University of Illinois at Urbana Champaign, Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, Urbana, United States