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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/cea/ZhouLKQHM23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/David_Katzin>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ep_Heuvelink>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Leo_F._M._Marcelis>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Qingzhi_Liu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Tian_Qian>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Xiaohan_Zhou>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1016%2Fj.compag.2023.107980>
foaf:homepage <https://doi.org/10.1016/j.compag.2023.107980>
dc:identifier DBLP journals/cea/ZhouLKQHM23 (xsd:string)
dc:identifier DOI doi.org%2F10.1016%2Fj.compag.2023.107980 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/cea>
rdfs:label Boosting the prediction accuracy of a process-based greenhouse climate-tomato production model by particle filtering and deep learning. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/David_Katzin>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ep_Heuvelink>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Leo_F._M._Marcelis>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Qingzhi_Liu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Tian_Qian>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Xiaohan_Zhou>
swrc:month August (xsd:string)
swrc:pages 107980 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/cea/ZhouLKQHM23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/cea/ZhouLKQHM23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/cea/cea211.html#ZhouLKQHM23>
rdfs:seeAlso <https://doi.org/10.1016/j.compag.2023.107980>
dc:title Boosting the prediction accuracy of a process-based greenhouse climate-tomato production model by particle filtering and deep learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 211 (xsd:string)