Advances in artificial intelligence to model the impact of El Niño-Southern Oscillation on crop yield variability.

Wannasingha UH, Waqas M, Wangwongchai A, Hlaing PT, Dechpichai P, Ahmad S

DOI: 10.1016/j.mex.2025.103650
Published: 2025 Dec
Container: MethodsX
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1016/j.mex.2025.103650,
  title = {Advances in artificial intelligence to model the impact of El Niño-Southern Oscillation on crop yield variability.},
  author = {Wannasingha UH and Waqas M and Wangwongchai A and Hlaing PT and Dechpichai P and Ahmad S},
  year = {2025},
  journal = {MethodsX},
  doi = {10.1016/j.mex.2025.103650},
  url = {https://doi.org/10.1016/j.mex.2025.103650}
}

RIS

TY  - JOUR
TI  - Advances in artificial intelligence to model the impact of El Niño-Southern Oscillation on crop yield variability.
AU  - Wannasingha UH
AU  - Waqas M
AU  - Wangwongchai A
AU  - Hlaing PT
AU  - Dechpichai P
AU  - Ahmad S
PY  - 2025
JO  - MethodsX
DO  - 10.1016/j.mex.2025.103650
UR  - https://doi.org/10.1016/j.mex.2025.103650
ER  -

APA

UH, W., M, W., A, W., PT, H., P, D., & S, A. (2025). Advances in artificial intelligence to model the impact of El Niño-Southern Oscillation on crop yield variability.. MethodsX. https://doi.org/10.1016/j.mex.2025.103650

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pubmed · retrieved 2026-09-25T22:44:33.092Z