Machine learning and time-series approaches for forecasting bacterial blight of pomegranate

Manoj Choudhary, Niranjan Singh, Meenakshi Malik, Meenakshi Arya, P. N. Meena, S. M. Haldhar, Mukesh Khokhar, Yukti Chandervanshi, Umesh Saini, Niharika Shoeran

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DOI: 10.3389/fpls.2026.1787474
Published: 2026-07-16
Container: Frontiers in Plant Science
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2026.1787474,
  title = {Machine learning and time-series approaches for forecasting bacterial blight of pomegranate},
  author = {Manoj Choudhary and Niranjan Singh and Meenakshi Malik and Meenakshi Arya and P. N. Meena and S. M. Haldhar and Mukesh Khokhar and Yukti Chandervanshi and Umesh Saini and Niharika Shoeran},
  year = {2026},
  journal = {Frontiers in Plant Science},
  doi = {10.3389/fpls.2026.1787474},
  url = {https://doi.org/10.3389/fpls.2026.1787474}
}

RIS

TY  - JOUR
TI  - Machine learning and time-series approaches for forecasting bacterial blight of pomegranate
AU  - Manoj Choudhary
AU  - Niranjan Singh
AU  - Meenakshi Malik
AU  - Meenakshi Arya
AU  - P. N. Meena
AU  - S. M. Haldhar
AU  - Mukesh Khokhar
AU  - Yukti Chandervanshi
AU  - Umesh Saini
AU  - Niharika Shoeran
PY  - 2026
JO  - Frontiers in Plant Science
DO  - 10.3389/fpls.2026.1787474
UR  - https://doi.org/10.3389/fpls.2026.1787474
ER  -

APA

Choudhary, M., Singh, N., Malik, M., Arya, M., Meena, P. N., Haldhar, S. M., Khokhar, M., Chandervanshi, Y., Saini, U., & Shoeran, N. (2026). Machine learning and time-series approaches for forecasting bacterial blight of pomegranate. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2026.1787474

Source records

crossref · retrieved 2026-09-25T14:57:42.172Z