Model-Based, Learning, Multi-Agent and LLM-Based Irrigation Controllers: A Systematic Review of Agency, Validation and Water Outcomes

Abdulaziz Abdukarimov

DOI: 10.17605/osf.io/ckvy5
Published: 2026
Container: Not recorded
Publisher: OSF Registries
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.17605/osf.io/ckvy5,
  title = {Model-Based, Learning, Multi-Agent and LLM-Based Irrigation Controllers: A Systematic Review of Agency, Validation and Water Outcomes},
  author = {Abdulaziz Abdukarimov},
  year = {2026},
  doi = {10.17605/osf.io/ckvy5},
  url = {https://doi.org/10.17605/osf.io/ckvy5}
}

RIS

TY  - JOUR
TI  - Model-Based, Learning, Multi-Agent and LLM-Based Irrigation Controllers: A Systematic Review of Agency, Validation and Water Outcomes
AU  - Abdulaziz Abdukarimov
PY  - 2026
DO  - 10.17605/osf.io/ckvy5
UR  - https://doi.org/10.17605/osf.io/ckvy5
ER  -

APA

Abdukarimov, A. (2026). Model-Based, Learning, Multi-Agent and LLM-Based Irrigation Controllers: A Systematic Review of Agency, Validation and Water Outcomes. https://doi.org/10.17605/osf.io/ckvy5

Source records

datacite · retrieved 2026-11-06T13:55:35.314Z