Evelynn Mae Wilcox

College of Agriculture and Life Sciences

Works (1)

Updated: March 7th, 2025 05:01

2025 article

Improved two-stage deep learning algorithm and lightweight YOLOv5n for classifying cottonseed damage

He, W., Wu, F., Snyder, L. U., Cheng, J., Wilcox, E., & Xiang, L. (2025, February 7). Computers and Electronics in Agriculture, Vol. 232.

By: W. He n , F. Wu n, L. Snyder  n, J. Cheng *, E. Wilcox n & L. Xiang n 

Contributors: W. He n , F. Wu n, L. Snyder  n, J. Cheng *, E. Wilcox n & L. Xiang n 

author keywords: Cottonseed; Damage detection; Swin Transformer; Two-stage classified method; YOLO
topics (OpenAlex): Smart Agriculture and AI; Spectroscopy and Chemometric Analyses; Industrial Vision Systems and Defect Detection
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 13, 2025

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