{
  "abstract": "The adoption of Digital Twins in agriculture has increased significantly in recent years, driven by advances in sensing technologies, computational modeling, and data-driven analytics. As agricultural systems become increasingly complex and interconnected, the ability to integrate heterogeneous data sources and enable consistent data exchange across platforms has become a critical requirement. However, challenges related to interoperability and data integration continue to hinder the effective deployment of agricultural Digital Twins. This paper presents a Systematic Literature Review on the application of Digital Twins in agriculture, focusing on modeling approaches, semantic representations, and interoperability mechanisms. Following a structured review protocol, studies published between 2016 and January 2026 were retrieved from major scientific digital libraries. The multi-stage screening process reduced an initial dataset of 6,968 records to a final corpus of 62 primary studies. The results show a strong concentration of research in semantic and knowledge modeling, interoperability and integration mechanisms, and analytics-driven decision support. Crop- and plant-oriented Digital Twins dominate the literature, while the digitalization of agricultural machinery and large-scale integrated farming systems remains comparatively limited. The review also identifies key research gaps related to the lack of standardized architectures, limited cross-asset integration, and scarce large-scale field validation. These findings provide a consolidated perspective on the current state of Digital Twin research in agriculture and outline future research directions toward more interoperable and scalable digital agricultural ecosystems.",
  "abstract_shown": true,
  "affiliations": [
    "Center for Embedded Devices and Research in Digital Agriculture (CEDRA), Sao Leopoldo, Brazil",
    "Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"
  ],
  "article_type": "review",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Pedro Henrique Morgan Pereira",
      "orcid": "0000-0002-9700-6147"
    },
    {
      "affs": [
        0
      ],
      "name": "Giovana Costa Piazza"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Khalid Usman"
    },
    {
      "affs": [
        0
      ],
      "name": "Luan Santos Comelli da Silveira"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Vinícius Cella Ceriotti"
    },
    {
      "affs": [
        0
      ],
      "name": "Yuri de Souza Pazin"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Edison Pignaton de Freitas",
      "orcid": "0000-0003-4655-8889"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1vkwdbkvswrnz.bib",
  "cited_by": 7,
  "doi": "10.1016/j.atech.2026.102283",
  "fulltext_url": null,
  "id": "1vkwdbkvswrnz",
  "issns": [
    "2772-3755"
  ],
  "landing_url": "https://doi.org/10.1016/j.atech.2026.102283",
  "language": "en",
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1110|Smart Agriculture and AI"
    ]
  ],
  "openalex": "W7164492202",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-06-12",
  "publisher": "Elsevier BV",
  "ris": "https://research.draconitic.com/paper/1vkwdbkvswrnz.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T13:21:09Z",
      "native_id": "W7164492202",
      "source": "openalex",
      "url": "https://doi.org/10.1016/j.atech.2026.102283"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:1110|Smart Agriculture and AI",
      "subfield": "plant-biology"
    }
  ],
  "title": "Digital twins in agriculture: A systematic literature review on modeling, semantics, and interoperability",
  "title_text": "Digital twins in agriculture: A systematic literature review on modeling, semantics, and interoperability",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T13:21:08Z",
  "url": "https://research.draconitic.com/paper/1vkwdbkvswrnz",
  "venue": "Smart Agricultural Technology",
  "versions": []
}