2020
Ag Data Considerations for Today’s US Soybean Production
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
(none assigned)
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
John Fulton, The Ohio State University
Co-Principal Investigators:
Project Code:
2020-172-0204
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Unique Keywords:
#technology
Information And Results
Final Project Results

Updated February 1, 2021:
Digital agriculture is quickly evolving in the United States (US) with a transition to more data-driven approaches at the farm level along with e-commerce within the agriculture sector. At the center of this digital evolution is the use of farm data to be used within new digital tools and for e-commerce purposes such as sustainability reporting. This project developed educational content for soybean farmers to help understand how data being collected at a high level today by machinery, precision agriculture technologies and remote sensing can be used for in-season decisions, environmental and sustainability reporting, farm business decisions, farm business management, and marketing and farm planning. Additionally, the team addressed the use of imagery by the farm operation and outlining new agriculture technology terminology such as AI, machine learning, and IoT. The content becomes important to soybean farmers here in the US as connectivity and digital solutions enter the farm gate and becoming common across the crop production and food sectors.

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.