Anti-gravity stem-seeking restoration algorithm for maize seed root image phenotype detection

Abstract

This paper presents an anti-gravity stem-seeking restoration algorithm for maize seed root image phenotype detection.

Citation

@article{mingxuan2022anti,
  title={Anti-gravity stem-seeking restoration algorithm for maize seed root image phenotype detection},
  author={Mingxuan, Zou and Wei, Lu and Hui, Luo and Ruinan, Zhang and Yiming, Deng},
  journal={Computers and Electronics in Agriculture},
  volume={202},
  pages={107337},
  year={2022},
  publisher={Elsevier}
}

Posted on:: January 1, 2022

Length:: 1 minute read, 53 words

Tags:: Computer Vision Agriculture Phenotyping

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