This HTML5 document contains 6 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

PrefixNamespace IRI
marcrelhttp://id.loc.gov/vocabulary/relators/
dctermshttp://purl.org/dc/terms/
dchttp://purl.org/dc/elements/1.1/
n8http://www.idref.fr/191679550/
n6http://www.idref.fr/060327847/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
xsdhhttp://www.w3.org/2001/XMLSchema#
n7http://www.idref.fr/267224710/
n2https://hal.archives-ouvertes.fr/
Subject Item
n2:hal-04119840id
marcrel:aut
n6:id n7:id n8:id
dcterms:bibliographicCitation
JiangShufan, AngaritaRafael, CormierStéphane, OrensanzJulien, RousseauxFrancis . Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring . International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 2022, Paris, France . pp.492-503, ⟨10.1007/978-3-031-09282-4_41⟩ JiangShufan, AngaritaRafael, CormierStéphane, OrensanzJulien, RousseauxFrancis. Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring. International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 2022, Paris, France. pp.492-503, ⟨10.1007/978-3-031-09282-4_41⟩
dc:date
2022