Project Details:

Analyzing Soybean Quality with Automated Image Processing

Parent Project: This is the first year of this project.
Checkoff Organization:Louisiana Soybean and Grain Research and Promotion Board
Categories:Analytical standards & measurements
Organization Project Code:
Project Year:2020
Lead Principal Investigator:Kevin Hoffseth (Louisiana State University AgCenter)
Co-Principal Investigators:

Information and Results

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Project Summary

Digital image processing can provide tools to help grain inspectors grade soybeans more efficiently and consistently.

Project Objectives

Use automated computer processing to improve the consistency of soybean grading.

Project Deliverables

Progress of Work

Final Project Results

Benefit to Soybean Farmers

More consistent soybean grading.

Performance Metrics

Project Years