Artificial intelligence-driven multi-omics integration for plant enhancement: advances, challenges, and future perspectives.

Yashi, Kumar N, Kumar R, Singh RK.

DOI: 10.1007/s10142-026-01932-x
Published: 2026-06-25
Container: Funct Integr Genomics
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s10142-026-01932-x,
  title = {Artificial intelligence-driven multi-omics integration for plant enhancement: advances, challenges, and future perspectives.},
  author = {Yashi and  Kumar N and  Kumar R and  Singh RK.},
  year = {2026},
  journal = {Funct Integr Genomics},
  doi = {10.1007/s10142-026-01932-x},
  url = {https://doi.org/10.1007/s10142-026-01932-x}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-driven multi-omics integration for plant enhancement: advances, challenges, and future perspectives.
AU  - Yashi
AU  -  Kumar N
AU  -  Kumar R
AU  -  Singh RK.
PY  - 2026
JO  - Funct Integr Genomics
DO  - 10.1007/s10142-026-01932-x
UR  - https://doi.org/10.1007/s10142-026-01932-x
ER  -

APA

Yashi, N, K., R, K., & RK., S. (2026). Artificial intelligence-driven multi-omics integration for plant enhancement: advances, challenges, and future perspectives.. Funct Integr Genomics. https://doi.org/10.1007/s10142-026-01932-x

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europe-pmc · retrieved 2026-09-25T11:56:07.427Z