Historical Project Details: Using engineering tools to identify and quantify biotic and abiotic stress in soybean for customizable agriculture production (2016)

2016

Using engineering tools to identify and quantify biotic and abiotic stress in soybean for customizable agriculture production

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Contributor/Checkoff:

Iowa Soybean Association

Category:

Sustainable Production

Keywords:

Abiotic stressAgricultureLand Use Water supply

Parent Project:

This is the first year of this project.

Lead Principal Investigator:

Arti Singh, Iowa State University

Co-Principal Investigators:

Baskar Ganapathysubramanian, Iowa State University
Daren Mueller, Iowa State University
Soumik Sarkar, Iowa State University
Asheesh Singh, Iowa State University
Gregory Tylka, Iowa State University

+4 More

Project Code:

450-46-04

Contributing Organization (Checkoff):

Iowa Soybean Association

(n/a)

Institution Funded:

Iowa State University

(n/a)

Final Report

Brief Project Summary:

Crop yields are inherently limited by plant stresses (biotic and abiotic). Plant breeders have protected yield from plant stress losses by incorporating resistance genes and developing more resilient cultivars. State-of-the-art High Throughput Phenotyping has unlocked new prospects for field-based phenotyping. What is currently lacking is methodology to quickly screen HTP images into easy-to-use tools that help identify, detect, classify and predict plant diseases. This research aims to use hyperspectral camera and spectro-radiometer to develop disease signatures to distinguish among SCN, SDS, BSR, charcoal rot and IDC; develop algorithms to differentiate diseases with confounding symptoms; develop predictions for disease onset using "disease signatures” and develop an algorithm to count SCN eggs under the microscope rapidly and accurately manner.

Key Benefactors:
farmers, agronomists, Extension agents, soybean breeders, seed companies

Information And Results

Project Deliverables

1. Farmers can scout field for diseases using their phone, making scouting easier.
2. Farmers can scout field though aerial systems to identify diseases, which will help them make decisions on pest management in a timely and effective manner.
3. Farmers will save input costs due to their ability to do site-specific management disease management rather than spraying entire fields.
4. Improved profitability due to reduced chemical costs.
5. Provide entrepreneurial opportunities for chemical companies, technology companies, equipment companies, prescription farming companies.
6. Better health and safe environment.

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.