@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://data.gov.ie/dataset/1faf34f8-810d-4ba3-8366-dad0c6ad5680> a dcat:Dataset ;
    dct:created "2026-10-08T13:10:08"^^xsd:dateTime ;
    dct:description """ High-resolution images of grass-clover swards at Teagasc Moorepark, with ground-truth annotations for dry herbage mass and sward composition. The dataset was collected by researchers in the VistaMilk SFI Research Centre to develop computer vision and machine learning methods for estimating herbage biomass and clover content from images. It has two subsets:\r
  (1) Camera and phone images (2020): 0.5 x 0.5 m quadrat images from a tripod-mounted Canon EOS 90D and an iPhone 6, taken across 26 plots (5-6 images per plot). There are 525 labelled camera images (418 train, 107 validation), 124 labelled phone images, 1,072 unlabelled camera images and 1,112 unlabelled phone images. Labels per quadrat: total dry herbage mass (kg DM/ha); dry and fresh grass, clover and weed percentages; and sward height after cutting (cm).\r
  (2) Drone images (late autumn 2021): 331 images from a DJI Mavic 2 Pro over 23 paddocks (7-36 images per paddock, 6-12 m altitude, 5472 x 3648 px), with paddock-level dry herbage mass from visual expert estimates and from strip cutting.\r
The images can be used for training and testing supervised, semi-supervised and unsupervised models of pasture biomass and clover estimation."""@en,
        ""@ga ;
    dct:identifier "1faf34f8-810d-4ba3-8366-dad0c6ad5680" ;
    dct:issued "2026-10-08T13:10:08"^^xsd:dateTime ;
    dct:language <http://publications.europa.eu/resource/authority/language/ENG> ;
    dct:modified "2026-10-08T13:10:08"^^xsd:dateTime ;
    dct:provenance [ a dct:ProvenanceStatement ;
            rdfs:label "Camera and phone subset (2020): images were taken over 0.5 x 0.5 m quadrats on 26 grass-clover plots at Moorepark Farm (Teagasc), using a tripod-mounted Canon EOS 90D and a handheld iPhone 6. For labelled quadrats, herbage was cut at 2-4 cm above ground with Gardena Accu 60 hand shears immediately after imaging. Fresh weight was recorded, and the herbage separated into grass, clover and weeds, oven-dried for 16 h and weighed for dry matter. Further unlabelled images were taken at random locations in the same plots.   Drone subset (late autumn 2021): 7-36 images per paddock were taken over 23 paddocks with a DJI Mavic 2 Pro at 6-12 m. Paddock-level dry herbage mass came from (a) visual estimation by two experts at the time of imaging and (b) the protocol of Egan et al. (2018): two 1.2 x 8 m strips per paddock cut at 4 cm with an Etesia mower, and a 100 g subsample dried at 95 C for 16 h.  " ] ;
    dct:publisher <https://data.gov.ie/organization/teagasc> ;
    dct:rights [ a dct:RightsStatement ;
            skos:prefLabel "https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en" ] ;
    dct:temporal [ rdfs:label "Camera and phone images 2020; drone images late autumn 2021 " ] ;
    dct:title "Irish Grass Clover Dataset (VistaMilk)"@en,
        ""@ga ;
    dcat:keyword "Dry matter",
        "Grass",
        "Herbage mass",
        "Perennial ryegrass",
        "White clover" ;
    dcat:landingPage <https://zenodo.org/records/14191859> ;
    dcat:theme <Agriculture>,
        <http://publications.europa.eu/resource/authority/data-theme/AGRI> .

<http://publications.europa.eu/resource/authority/language/ENG> a dct:LinguisticSystem .

<https://data.gov.ie/organization/teagasc> a foaf:Agent ;
    foaf:name "Teagasc" .

<https://zenodo.org/records/14191859> a foaf:Document .