{
  "abstract": "Artificial intelligence-based agents are emerging as a transformative paradigm for agriculture, enabling autonomous perception, reasoning, decision-making, and coordinated action across complex data and operational environments. These systems could improve productivity, resilience, resource efficiency, and food security, while raising challenges related to robustness, interoperability, data governance, trust, equity, and regulation. This Review examines the rise of these systems in agriculture and outlines research priorities for their development and deployment.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY USA.",
    "Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL USA.",
    "Department of Bioresource Engineering, McGill University, Sainte-Anne-de-Bellevue, QC Canada.",
    "College of Engineering, University of Georgia, Tifton, GA USA.",
    "Department of Entomology, University of Georgia, Tifton, GA USA.",
    "School of Integrative Plant Science, Cornell AgriTech, Cornell University, Geneva, NY USA."
  ],
  "article_type": "review article",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Daoyuan Jin"
    },
    {
      "affs": [
        1
      ],
      "name": "Daniel Petti",
      "orcid": "0000-0002-5293-445X"
    },
    {
      "affs": [
        2
      ],
      "name": "Xuehai Zhou",
      "orcid": "0009-0000-2322-1322"
    },
    {
      "affs": [
        3
      ],
      "name": "Peter Ngimbwa",
      "orcid": "0000-0002-2497-5422"
    },
    {
      "affs": [
        4
      ],
      "name": "Glen Rains"
    },
    {
      "affs": [
        2
      ],
      "name": "Shangpeng Sun"
    },
    {
      "affs": [
        1
      ],
      "name": "Changying Li",
      "orcid": "0000-0003-2590-4797"
    },
    {
      "affs": [
        5
      ],
      "name": "Yu Jiang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0av2ayq4n1nsb.bib",
  "cited_by": 0,
  "doi": "10.1038/s44264-026-00199-w",
  "fulltext_url": "https://europepmc.org/articles/PMC13739721",
  "id": "0av2ayq4n1nsb",
  "issns": [
    "2731-9202"
  ],
  "landing_url": "https://europepmc.org/article/MED/42996690",
  "language": "eng",
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1110|Smart Agriculture and AI"
    ]
  ],
  "openalex": "W7225297822",
  "pdf_url": "https://europepmc.org/articles/PMC13739721?pdf=render",
  "pmcid": "PMC13739721",
  "pmid": "42996690",
  "published": "2026-11-05",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/0av2ayq4n1nsb.ris",
  "sources": [
    {
      "first_seen": "2026-11-09T15:20:34Z",
      "native_id": "MED:42996690",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42996690"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:1110|Smart Agriculture and AI",
      "subfield": "plant-biology"
    }
  ],
  "title": "Agentic AI in transforming agriculture: a review.",
  "title_text": "Agentic AI in transforming agriculture: a review.",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T15:20:34Z",
  "url": "https://research.draconitic.com/paper/0av2ayq4n1nsb",
  "venue": "NPJ sustainable agriculture",
  "versions": []
}