Are unmanned aerial vehicle-based hyperspectral imaging and machine learning advancing crop science?

Matese A, Prince Czarnecki JM, Samiappan S, Moorhead R

DOI: 10.1016/j.tplants.2023.09.001
Published: 2024 Feb
Container: Trends in plant science
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.tplants.2023.09.001,
  title = {Are unmanned aerial vehicle-based hyperspectral imaging and machine learning advancing crop science?},
  author = {Matese A and Prince Czarnecki JM and Samiappan S and Moorhead R},
  year = {2024},
  journal = {Trends in plant science},
  doi = {10.1016/j.tplants.2023.09.001},
  url = {https://doi.org/10.1016/j.tplants.2023.09.001}
}

RIS

TY  - JOUR
TI  - Are unmanned aerial vehicle-based hyperspectral imaging and machine learning advancing crop science?
AU  - Matese A
AU  - Prince Czarnecki JM
AU  - Samiappan S
AU  - Moorhead R
PY  - 2024
JO  - Trends in plant science
DO  - 10.1016/j.tplants.2023.09.001
UR  - https://doi.org/10.1016/j.tplants.2023.09.001
ER  -

APA

A, M., JM, P. C., S, S., & R, M. (2024). Are unmanned aerial vehicle-based hyperspectral imaging and machine learning advancing crop science?. Trends in plant science. https://doi.org/10.1016/j.tplants.2023.09.001

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pubmed · retrieved 2026-09-25T11:34:04.809Z