2016
Establishing the Effectiveness of Active Optical Sensors as a Tool for Soybean Research and Production
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Contributor/Checkoff:
Nebraska Soybean Board
Category:
Sustainable Production
Keywords:
Field management Nutrient managementSoil healthTillageYield trials
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Loren Giesler, University of Nebraska
Co-Principal Investigators:
Project Code:
1722
Contributing Organization (Checkoff):
Nebraska Soybean Board
(n/a)
Institution Funded:
University of Nebraska at Lincoln
(n/a)
Brief Project Summary:

The results illustrate the potential for active optical sensors to be used in soybean research and production as a tool to determine input effects and direct in-season management. Further work is needed to better understand how different inputs affect sensor readings, to what extent yield-limiting variables affect sensor readings, and at what growth stage the sensors are most effective. Therefore, the objectives of this project are to: 1.) Determine the effectiveness of using optical sensor reflectance readings to identify the effects of early and late season inputs, 2.) Determine the sensitivity of the crop sensor to detect stresses induced by soybean cyst nematode infestation for the evaluation...

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 19, 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.