2011
Remote sensing of soybean aphid populations
Category:
Sustainable Production
Keywords:
Biotic stressCrop protectionField management Pest
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Ian MacRae, University of Minnesota
Co-Principal Investigators:
Larry Smith, Minnesota Soybean Research and Promotion
Ken Ostlie, University of Minnesota
Bruce Potter, University of Minnesota
+2 More
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

This study will determine the potential to use various types of spectral imagery for assessing soybean aphid infestation levels. The researchers will investigate the use of image analysis to predict feeding stress and associated aphid population dynamics in the soybean crop. If this project is successful, spectral imagery techniques could help reduce the time and effort needed to scout fields and determine when economic spraying thresholds for the soybean aphid are reached.

Unique Keywords:
#insects and pests
Information And Results
Project Deliverables

Final Project Results

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.