UAV

PhenoSR: Enhancing organ-level phenotyping with super-resolution RGB UAV imagery for large-scale field experiments

Abstract

This paper presents PhenoSR, a method for enhancing organ-level phenotyping with super-resolution RGB UAV imagery for large-scale field experiments.

Key Contributions

  • Developed super-resolution techniques for RGB UAV imagery
  • Enhanced organ-level phenotyping capabilities
  • Demonstrated effectiveness for large-scale field experiments

Citation 

@article{zhang2025phenosr,
  title={PhenoSR: Enhancing organ-level phenotyping with super-resolution RGB UAV imagery for large-scale field experiments},
  author={Zhang, Ruinan and Jin, Shuai and Wang, Yue and others},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  volume={228},
  pages={582--602},
  year={2025},
  publisher={Elsevier}
}

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}
}