Enhancing host-pathogen phenotyping dynamics: early detection of tomato bacterial diseases using hyperspectral point measurement and predictive modeling.

Reis Pereira M, Dos Santos FN, Tavares F, Cunha M

Open source

DOI: 10.3389/fpls.2023.1242201
Published: 2023
Container: Frontiers in plant science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2023.1242201,
  title = {Enhancing host-pathogen phenotyping dynamics: early detection of tomato bacterial diseases using hyperspectral point measurement and predictive modeling.},
  author = {Reis Pereira M and Dos Santos FN and Tavares F and Cunha M},
  year = {2023},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2023.1242201},
  url = {https://doi.org/10.3389/fpls.2023.1242201}
}

RIS

TY  - JOUR
TI  - Enhancing host-pathogen phenotyping dynamics: early detection of tomato bacterial diseases using hyperspectral point measurement and predictive modeling.
AU  - Reis Pereira M
AU  - Dos Santos FN
AU  - Tavares F
AU  - Cunha M
PY  - 2023
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2023.1242201
UR  - https://doi.org/10.3389/fpls.2023.1242201
ER  -

APA

M, R. P., FN, D. S., F, T., & M, C. (2023). Enhancing host-pathogen phenotyping dynamics: early detection of tomato bacterial diseases using hyperspectral point measurement and predictive modeling.. Frontiers in plant science. https://doi.org/10.3389/fpls.2023.1242201

Source records

pubmed · retrieved 2026-09-25T07:22:43.388Z
europe-pmc · retrieved 2026-09-25T07:22:43.367Z
doaj · retrieved 2026-09-25T07:22:43.384Z