Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2023 May 10:14:1195377.
doi: 10.3389/fpls.2023.1195377. eCollection 2023.

Editorial: State-of-the-art technology and applications in crop phenomics, volume II

Wanneng Yang  1 , John H Doonan  2 , Xinyu Guo  3 , Xiaohui Yuan  4 , Feng Ling  5
Affiliations
Editorial

Editorial: State-of-the-art technology and applications in crop phenomics, volume II

Wanneng Yang et al. Front Plant Sci. .
No abstract available

Keywords: AI-driven phenotypic analysis; UAV; X-ray micro-CT; high-throughput phenotyping; hyperspectral.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Comment on

  • Editorial on the Research Topic State-of-the-art technology and applications in crop phenomics, volume II

References

    1. Lowe A., Harrison N., French A. P. (2017). Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress. Plant Methods 13, 80. doi: 10.1186/s13007-017-0233-z - DOI - PMC - PubMed
    1. Luo Z., Yang W., Yuan Y., Gou R., Li X. (2023). Semantic segmentation of agricultural images: a survey. Inf. Process. Agriculture. doi: 10.1016/j.inpa.2023.02.001 - DOI
    1. Reynolds D., Baret F., Welcker C., Bostrom A., Ball J., Cellini F., et al. . (2019). What is cost-effective phenotyping? optimizing costs for different scenarios. Plant Sci. 282, 14–22. doi: 10.1016/j.plantsci.2018.06.015 - DOI - PubMed
    1. Sarić R., Nguyen V. D., Burge T., Berkowitz O., Trtílek M., Whelan J., et al. . (2022). Applications of hyperspectral imaging in plant phenotyping. Trends Plant Sci. 27, 301–315. doi: 10.1016/j.tplants.2021.12.003 - DOI - PubMed
    1. Wosner O., Farjon G., Bar-Hillel A. (2021). Object detection in agricultural contexts: a multiple resolution benchmark and comparison to human. Comput. Electron. Agric. 189, 106404. doi: 10.1016/j.compag.2021.106404 - DOI

Publication types

LinkOut - more resources