OSNet: an oriented instance segmentation network of breeding plot extraction from UAV RGB imagery

Abstract

This paper presents OSNet, an oriented instance segmentation network for breeding plot extraction from UAV RGB imagery.

Key Contributions

  • Developed an oriented instance segmentation network for breeding plot extraction
  • Achieved high accuracy in plot boundary detection from UAV RGB imagery
  • Demonstrated effectiveness for agricultural field management

Citation

@article{zhang2025osnet,
  title={OSNet: an oriented instance segmentation network of breeding plot extraction from UAV RGB imagery},
  author={Zhang, Ruinan and Zhang, Yue and Jin, Shuai and others},
  journal={Computers and Electronics in Agriculture},
  volume={236},
  pages={110436},
  year={2025},
  publisher={Elsevier}
}
Posted on:
April 17, 2025
Length:
1 minute read, 83 words
Tags:
Computer Vision Deep Learning UAV Agriculture
See Also:
PhenoSR: Enhancing organ-level phenotyping with super-resolution RGB UAV imagery for large-scale field experiments
SenNet: A dual-branch image semantic segmentation network for wheat senescence evaluation and high-yielding variety screening
PhenoNet: A two-stage lightweight deep learning framework for real-time wheat phenophase classification