Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset
Author:
Affiliation:
1. University of Saskatchewan,Department of Computer Science,Saskatoon,SK,Canada
2. University of Saskatchewan,Department of Plant Sciences,Saskatoon,SK,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350650.pdf?arnumber=10350650
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2. Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation;Algorithms;2024-06-17
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