Lab Research Objectives
Within-season prediction of multiple crop traits, crop phenology, and the effects of farmer management practices on downstream environmental outcomes.
Research objectives are to advance the state-of-the-art in crop predictive analytics in order to:
- Enable farming decision makers to increase yield, simultaneously improve multiple quality attributes of their crops, and minimize damage to the environment
- Enable breeders and growers to adjust to ever-changing climate conditions while minimizing crop losses and maximizing quality
How Silverstein Lab Applies GEMS Services
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Current Silverstein Lab Projects
GEMS Multi-trait prediction
PedTools
Crop phenology prediction using remote sensing
Effects of MN Farmer’s BMPs on downstream Lake Water Quality
Active Partnerships and Collaborations
- MAWQCP, Minnesota Department of Agriculture
- FFAR, Foundation for Food & Agriculture Research
- Anderson Lab, University of Minnesota, Dept. of Agronomy and Plant Genetics
- Smith Lab, University of Minnesota, Dept. of Agronomy and Plant Genetics
Silverstein Lab Members
Silverstein Lab Members
Current Silverstein Lab members
- Kevin Silverstein, Ph.D., Principal Investigator
- Jeffery Thompson, Ph.D., High Performance Geospatial Analyst, University of Minnesota
- Mason Hurley, M.S., Data Engineer, University of Minnesota
- Anubha Agrawal, M.S., Data Scientist, University of Minnesota
- Tanushree Naik, Ph.D., Data Scientist, Contractor
Past Silverstein Lab members
- Keerthi Pamaloparthy, M.S., Data Scientist, University of Minnesota - next position: UnitedHealth Group, MN
- Christina Poudyal, M.S. Data Scientist, University of Minnesota - next position: Decision Science, San Francisco
