Raman Spectroscopy and Machine-Learning for Early Detection of Bacterial Canker of Tomato: The Asymptomatic Disease Condition.
- DOI
- 10.3390/plants10081542
- Published
- 2021 Jul 28
- Container
- Plants (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/plants10081542,
title = {Raman Spectroscopy and Machine-Learning for Early Detection of Bacterial Canker of Tomato: The Asymptomatic Disease Condition.},
author = {Vallejo-Pérez MR and Sosa-Herrera JA and Navarro-Contreras HR and Álvarez-Preciado LG and Rodríguez-Vázquez ÁG and Lara-Ávila JP},
year = {2021},
journal = {Plants (Basel, Switzerland)},
doi = {10.3390/plants10081542},
url = {https://doi.org/10.3390/plants10081542}
}RIS
TY - JOUR TI - Raman Spectroscopy and Machine-Learning for Early Detection of Bacterial Canker of Tomato: The Asymptomatic Disease Condition. AU - Vallejo-Pérez MR AU - Sosa-Herrera JA AU - Navarro-Contreras HR AU - Álvarez-Preciado LG AU - Rodríguez-Vázquez ÁG AU - Lara-Ávila JP PY - 2021 JO - Plants (Basel, Switzerland) DO - 10.3390/plants10081542 UR - https://doi.org/10.3390/plants10081542 ER -
APA
MR, V., JA, S., HR, N., LG, Á., ÁG, R., & JP, L. (2021). Raman Spectroscopy and Machine-Learning for Early Detection of Bacterial Canker of Tomato: The Asymptomatic Disease Condition.. Plants (Basel, Switzerland). https://doi.org/10.3390/plants10081542
Source records
- pubmed · retrieved 2026-09-26T14:06:16.827Z