CFANS Soil, Water & Climate
College of Food, Ag & Nat Res Sci
Twin Cities
College of Food, Ag & Nat Res Sci
Twin Cities
Project Title:
Combining Remote Sensing and Modeling for Precision Agriculture
This group is processing satellite and UAV remote sensing images to estimate spatial variability of crop growth and crop N status indicators in commercial farm fields. The remote sensing-derived information will be used to calibrate crop growth model simulations to guide precision crop management decisions.
Project Investigators
Ayoub Kechchour
Junjun Lu
Dr. Yuxin Miao
Katsutoshi Mizuta
Renzo Negrini
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