Pre-symptomatic detection of wheat stem rust using hyperspectral imaging and deep learning.

Zhu Z, Lin M, Li C, Deng J, Ji N

Open source

DOI: 10.3389/fpls.2026.1873364
Published: 2026
Container: Frontiers in plant science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2026.1873364,
  title = {Pre-symptomatic detection of wheat stem rust using hyperspectral imaging and deep learning.},
  author = {Zhu Z and Lin M and Li C and Deng J and Ji N},
  year = {2026},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2026.1873364},
  url = {https://doi.org/10.3389/fpls.2026.1873364}
}

RIS

TY  - JOUR
TI  - Pre-symptomatic detection of wheat stem rust using hyperspectral imaging and deep learning.
AU  - Zhu Z
AU  - Lin M
AU  - Li C
AU  - Deng J
AU  - Ji N
PY  - 2026
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2026.1873364
UR  - https://doi.org/10.3389/fpls.2026.1873364
ER  -

APA

Z, Z., M, L., C, L., J, D., & N, J. (2026). Pre-symptomatic detection of wheat stem rust using hyperspectral imaging and deep learning.. Frontiers in plant science. https://doi.org/10.3389/fpls.2026.1873364

Source records

pubmed · retrieved 2026-09-27T07:53:21.237Z
europe-pmc · retrieved 2026-09-27T07:53:21.239Z
doaj · retrieved 2026-09-27T07:53:21.260Z