@prefix agrovoc: <http://aims.fao.org/aos/agrovoc/> .
@prefix skosxl: <http://www.w3.org/2008/05/skos-xl#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix void: <http://rdfs.org/ns/void#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix ns0: <http://art.uniroma2.it/ontologies/vocbench#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .

agrovoc:xl_pt_1da1d2f8
  a skosxl:Label ;
  dc:created "2026-06-09T07:27:16"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:notation "1da1d2f8"^^agrovoc:AgrovocCode ;
  skosxl:literalForm "rede neural convolutiva"@pt .

agrovoc:xDef_994c8c10
  rdf:value "A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio."@en ;
  ns0:hasSource "Wikipedia. 2026. Convolutional neural network. https://en.wikipedia.org/wiki/Convolutional_neural_network" ;
  dc:created "2026-06-09T07:40:18"^^xsd:dateTime .

agrovoc:xl_pt_0c6fb274
  a skosxl:Label ;
  dc:created "2026-06-09T07:35:22"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:notation "7d48787b"^^agrovoc:AgrovocCode ;
  skosxl:literalForm "rede neural convolucional"@pt .

agrovoc:xl_es_60a6a29d
  a skosxl:Label ;
  dc:created "2026-06-09T07:27:14"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:notation "7d48787b"^^agrovoc:AgrovocCode ;
  skosxl:literalForm "Red neuronal de convolución"@es .

agrovoc:xl_en_285434a2
  a skosxl:Label ;
  dc:created "2026-06-09T07:01:21"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:notation "7d48787b"^^agrovoc:AgrovocCode ;
  skosxl:literalForm "convolutional neural networks"@en .

agrovoc:xl_fr_5c285ad7
  a skosxl:Label ;
  dc:created "2026-06-09T07:27:14"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:notation "7d48787b"^^agrovoc:AgrovocCode ;
  skosxl:literalForm "réseau de neurones à convolution"@fr .

<http://agrotermos.dados.embrapa.br/agrotermos>
  a owl:owOntology, skos:ConceptScheme ;
  skos:prefLabel "Agrotermos"@es, "Agrotermos"@en, "Agrotermos"@pt-BR .

skos:prefLabel rdfs:comment "A resource has no more than one value of skos:prefLabel per language tag."@en .
agrovoc:c_7d48787b
  a skos:Concept ;
  dc:created "2026-06-09T07:01:21"^^xsd:dateTime ;
  dc:modified "2026-10-07T09:13:17"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:altLabel "rede neural convolutiva"@pt ;
  skos:broader agrovoc:c_37467 ;
  skos:definition agrovoc:xDef_994c8c10 ;
  skos:inScheme <http://agrotermos.dados.embrapa.br/agrotermos> ;
  skos:prefLabel "réseau de neurones à convolution"@fr, "convolutional neural networks"@en, "Red neuronal de convolución"@es, "rede neural convolucional"@pt ;
  skos:scopeNote "Used in deep learning-based approaches to computer vision and image processing. In agriculture and food security, convolutional neural networks are vital tools used to automate tasks such as monitoring crop health, harvest estimation, disease and pest detection, wildlife and weed detection, classifying soil types, land cover mapping, and tracking animal behaviour."@en ;
  skosxl:altLabel agrovoc:xl_pt_1da1d2f8 ;
  skosxl:prefLabel agrovoc:xl_fr_5c285ad7, agrovoc:xl_en_285434a2, agrovoc:xl_es_60a6a29d, agrovoc:xl_pt_0c6fb274 .

agrovoc:c_37467
  a skos:Concept ;
  skos:narrower agrovoc:c_7d48787b ;
  skos:prefLabel "Red de neuronas"@es, "rede neuronal"@pt, "réseau de neurones"@fr, "neural networks"@en .