2022
Using Multispectral Platforms to Manage the Soybean Cyst Nematode
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Contributor/Checkoff:
Illinois Soybean Association
Category:
Sustainable Production
Keywords:
Crop protectionDiseaseField management
Parent Project:
Using multispectral platforms to manage soybean cyst nematode
Lead Principal Investigator:
Jason Bond, Southern Illinois University at Carbondale
Co-Principal Investigators:
Project Code:
Contributing Organization (Checkoff):
Illinois Soybean Association
$65,000
Institution Funded:
Southern Illinois University
$65,000
Brief Project Summary:

The project explores the use of multi-spectral imaging and modeling using remote sensing for detecting soybean cyst nematode stresses in crop fields. Using unmanned aerial vehicles (UAVs), the research team will collect images to find accurate imagery across light spectrums that can identify plant symptoms unique to SCN. The imagery can help researchers and farmers learn of plant physical stress and call attention to problems in a field that may be missed by scouting. The team will develop a workflow to speed up image stitching and to separate spectral image indices so they can focus on image analysis.

Key Benefactors:
farmers, nematologists, agronomists, pathologists

Information And Results
Project Deliverables

We will disseminate our research findings through conference presentations, extension publications, journal articles, and media releases to the precision farming industry and crop consultants. We will work with the Soybean Research Information Initiative (SRII) and the Crop Protection Network to publish updates and release information on the availability of the toolkit to a broader farming community for potential adoption. In addition, we will use social media like Facebook to share project information and progress. The proposed toolkit will be freely released via GitHub, a web-based computer algorithm sharing system so that the feedback can make improvements from precision agricultural research communities.

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.