{
  "edges": [
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:101086300:participant:887173932",
        "url": "https://cordis.europa.eu/project/id/101086300"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:887173932",
      "id": "claim:funding:101086300:887173932",
      "relation": "participates_in",
      "to": "cordis:101086300"
    }
  ],
  "entity": {
    "attributes": {
      "aliases": [
        "LEHR-UND VERSUCHSANSTALT FURGARTENBAU UND ARBORISTIK EV(LVGA)"
      ],
      "identifiers": [
        {
          "scheme": "cordis-pic",
          "value": "887173932"
        }
      ],
      "identityBasis": "official_identifier",
      "kind": "organization",
      "lanes": [
        "funding"
      ],
      "roles": [
        "funding_participant"
      ]
    },
    "edgeCount": 1,
    "id": "actor:cordis-pic:887173932",
    "indexable": true,
    "label": "LEHR-UND VERSUCHSANSTALT FURGARTENBAU UND ARBORISTIK EV(LVGA)",
    "links": [
      {
        "kind": "evidence_source",
        "label": "german-ai-innovation-path",
        "url": "https://cordis.europa.eu/project/id/101086300"
      }
    ],
    "slug": "actor-cordis-pic-887173932-bec1c8f2",
    "sourceRefs": [
      {
        "dataset": "german-ai-innovation-path",
        "field": "official_identifier",
        "recordCount": 1,
        "sourceId": "cordis:101086300:participant:887173932",
        "url": "https://cordis.europa.eu/project/id/101086300"
      }
    ],
    "type": "actor"
  },
  "fingerprint": "sha256:596baf2435e59e0c2dbf8f02fd78845daf142ff3de61107f8061b899db234e59",
  "generatedAt": "2026-07-21T08:59:15.288Z",
  "neighbors": [
    {
      "attributes": {
        "acronym": "CrackSense",
        "code": "101086300",
        "endDate": "2026-12-31",
        "frameworkProgramme": "HORIZON",
        "funding": {
          "currency": "EUR",
          "germanNetEuContributionCents": "93820469",
          "participantEdgeCount": 3,
          "status": "linked"
        },
        "knowledgeFlow": {
          "citingCountryCount": 0,
          "citingInstitutionCount": 0,
          "distinctCitingWorkCount": 0,
          "firstObservedCitationDate": null,
          "lastObservedCitationDate": null,
          "observedCitationEdgeCount": 0,
          "status": "bounded_observation"
        },
        "research": {
          "citationDataOutputCount": 11,
          "citedOutputCount": 1,
          "firstPublicationDate": "2024-07-17",
          "lastPublicationDate": "2024-07-17",
          "openAccessOutputCount": 11,
          "outputCount": 11,
          "status": "linked",
          "totalCitations": 3,
          "typeCounts": {
            "dataset": 0,
            "other": 0,
            "publication": 11,
            "software": 0
          }
        },
        "startDate": "2023-01-01"
      },
      "description": "High throughput real-time monitoring and prediction of fruit cracking by utilising and upscaling sensing and digital data technologies",
      "edgeCount": 3,
      "id": "cordis:101086300",
      "indexable": true,
      "label": "CrackSense · High throughput real-time monitoring and prediction of fruit cracking by utilising and upscaling sensing and digital data technologies",
      "links": [
        {
          "kind": "official_source",
          "label": "CORDIS",
          "url": "https://cordis.europa.eu/project/id/101086300"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Innovationspfad",
          "url": "/tools/ki-innovationspfad/?project=101086300"
        }
      ],
      "slug": "project-cordis-101086300-80644ac0",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "cordis_project_id",
          "sourceId": "cordis:101086300",
          "url": "https://cordis.europa.eu/project/id/101086300"
        }
      ],
      "type": "project"
    }
  ],
  "schemaVersion": "ki-evidenznetz.entity.v1"
}