Bridging agronomic science and context specific farm-level advisory through generative AI for rice systems in India.

Gakhar S, Koo J, Patnaik GP, Singh RK

DOI: 10.3389/frai.2026.1808028
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1808028,
  title = {Bridging agronomic science and context specific farm-level advisory through generative AI for rice systems in India.},
  author = {Gakhar S and Koo J and Patnaik GP and Singh RK},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1808028},
  url = {https://doi.org/10.3389/frai.2026.1808028}
}

RIS

TY  - JOUR
TI  - Bridging agronomic science and context specific farm-level advisory through generative AI for rice systems in India.
AU  - Gakhar S
AU  - Koo J
AU  - Patnaik GP
AU  - Singh RK
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1808028
UR  - https://doi.org/10.3389/frai.2026.1808028
ER  -

APA

S, G., J, K., GP, P., & RK, S. (2026). Bridging agronomic science and context specific farm-level advisory through generative AI for rice systems in India.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1808028

Source records

pubmed · retrieved 2026-09-25T19:39:57.279Z