Predictive Modeling of US Corn Fields – A Machine Learning Approach

Luyi Chen

University of Minnesota

Luyi Chen is a graduate student working with the NorthStar Initiative for Sustainable Enterprise at the Institute on the Environment. Luyi studies the renewable material supply chain from an engineering perspective. Her research interests include Spatio-temporal environmental data analysis, and the application of advanced computing algorithms to food supply chain modeling.  Luyi is currently a fourth year Ph.D student in the Bioproducts and Biosystems science, engineering and management program. Previously she majored in environmental engineering at Shanghai University and conducted basic research on biochar-loaded catalyst production.


To plan out the sourcing part in a food supply chain, the problem is two-fold. One is logistics optimization, which is well-recognized by food vendors. The other, however, is very hard to predict and map into planning: the... [ view full abstract ]


  1. Luyi Chen (University of Minnesota)
  2. Rylie Pelton (University for Minnesota)
  3. Timothy Smith (University for Minnesota)

Topic Areas

• Open source data, big data, data mining and industrial ecology , • Advances in methods (e.g., life cycle assessment, social impact assessment, resilience a , • Decision support methods and tools


ThS-10 » Sustainable food systems 3 (09:45 - Thursday, 29th June, Room G)

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