2017
Establishing the Effectiveness of Active Optical Sensors as a Tool for Soybean Research and Production
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Field management Nutrient managementSoil healthTillageYield trials
Lead Principal Investigator:
Loren Giesler, University of Nebraska
Co-Principal Investigators:
Project Code:
1722
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

The goal of this study is to evaluate the
effectiveness of a commercially available crop sensor to detect differences in reflectance that is
caused by multiple variables, including insect and disease pressure, soybean cyst nematode
infestation, and plant nutrient levels.

Unique Keywords:
#crop management systems
Information And Results
Project Deliverables

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.

Final Project Results

Updated April 25, 2018:

View uploaded report PDF file

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.