This project will establish the effectiveness of utilizing active crop sensors for soybean research
that evaluates the response of early season and late season treatments, including fungicide,
insecticide and fertility applications.
The use of multiple sensors in the SCN study will determine which sensors are able to detect
stress induced by SCN and whether the readings correlate with SCN population density and
variety resistance. This will determine possible utility in breeding programs.
This project will determine at which crop stage(s) that crop sensors can be used to predict the
relative yield for comparison of treatment inputs and will be a key step toward using crop canopy
sensors for soybean management decisions.