2015
Evaluation of soybean disease dynamics in Iowa using in-season satellite remote imageries and On-Farm Network data
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Contributor/Checkoff:
Iowa Soybean Association
Category:
Sustainable Production
Keywords:
Data analysisData Management
Parent Project:
Evaluation of satellite remote sensing
Lead Principal Investigator:
Xun Li, Iowa Soybean Association
Co-Principal Investigators:
X B Yang, Iowa State University
Project Code:
Contributing Organization (Checkoff):
Iowa Soybean Association
(n/a)
Institution Funded:
Iowa State University
(n/a)
Brief Project Summary:

Knowing on-farm disease and other related information in a growing season supports integrated pest management. The project goal is to improve abilities to rapidly and more site-specifically obtain and analyze disease information using satellite remote-sensing techniques. The long-term goal is to develop ways to use satellite remote sensing data for better disease management. The aim is to integrate a satellite remote-sensing technique for disease detection into a site-specific farm management program. Work quantifies the correlation between historical disease occurrence and remote-sensing imageries (aerial and satellite) for soybean diseases, uses in-season images to compute the occurrence of major soybean diseases and evaluates the use of imageries to determine soybean key growth stages for disease surveys.

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

Information And Results
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.