2012
Remote sensing of soybean aphid populations
Category:
Sustainable Production
Keywords:
Biotic stressCrop protectionField management Pest
Lead Principal Investigator:
Ian MacRae, University of Minnesota
Co-Principal Investigators:
Ken Ostlie, University of Minnesota
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

This research investigates the potential of using remotely sensed imagery to predict the feeding stress and population dynamics from soybean aphids. The researchers are using methodology multispectral camera and a hand-held radiometer to take multispectral images of soybean plants to assess soybean aphid infestation levels in commercial soybean fields. Spectral imagery techniques could help reduce the time and effort needed to scout fields and more accurately determine when economic spraying thresholds 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.