Project Details:

Title:
Remote sensing of soybean aphid populations

Parent Project: This is the first year of this project.
Checkoff Organization:Minnesota Soybean Research and Promotion Council
Categories:Insects and pests
Organization Project Code:
Project Year:2011
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)
Keywords:

Contributing Organizations

Funding Institutions

Information and Results

Click a section heading to display its contents.

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.

Project Objectives

Investigate the use of image analysis to predict feeding stress and associated aphid population dynamics in the soybean crop.

Project Deliverables

Progress of Work

Final Project Results

Benefit to Soybean Farmers

Performance Metrics

Project Years