Lori Unruh Snyder
LU
Publications
- Computer Vision for Rapid and Accurate Detection of Mechanical Damage in Cotton Seed to Optimize Planting Populations , 2025 AI in Ag Conference (2026)
- #9. Biostimulant Application under Different Nitrogen Fertilization Levels: Assessment of Stand Counts, Nutrient Levels, and Yield of Cotton Plants , Cotton Beltwide Conference (2025)
- Assessment of Corn (Zea mays) Emergence using High-Resolution Spatial UAV-Based Remote Sensing , Archives of Agriculture Research and Technology (AART) (2025)
- Correlation of Cotton Seed Damage Types with Germination Performance Across Warm, Cool, and Greenhouse Environments , CANVAS Meetings (2025)
- Evaluating the Relationship Between Cotton Seed Size and Visual Mechanical Damage Classifications , CANVAS Meetings (2025)
- Improved two-stage deep learning algorithm and lightweight YOLOv5n for classifying cottonseed damage , Computers and Electronics in Agriculture (2025)
- Investigation of the Radicle Length Threshold of the Cool Germination Test to Improve Field Predictability , Journal of Cotton Science (2025)
- Optimizing Cotton Seed Germination: The Impacts of Seed Orientation and Mechanical Damage , CANVAS Meetings (2025)
- Reducing Fertilizer Dependency in Cotton: Evaluating the Role of Biostimulants , CANVAS Meetings (2025)
- Standardizing Cotton Seed Quality Assessment: Automated Quantification of Visible Mechanical Damage (VMD) via Computer Vision , Applied AI in Engineering & Computer Science Symposium 2025 (2025)