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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/cea/FengGYHDSWF23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chenyang_Wang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Hanwen_Guan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jianzhao_Duan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Li_He>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Li_Song>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Tiancong_Yang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Wei_Feng_0013>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ziheng_Feng>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1016%2Fj.compag.2023.107989>
foaf:homepage <https://doi.org/10.1016/j.compag.2023.107989>
dc:identifier DBLP journals/cea/FengGYHDSWF23 (xsd:string)
dc:identifier DOI doi.org%2F10.1016%2Fj.compag.2023.107989 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/cea>
rdfs:label Estimating the canopy chlorophyll content of winter wheat under nitrogen deficiency and powdery mildew stress using machine learning. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chenyang_Wang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Hanwen_Guan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jianzhao_Duan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Li_He>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Li_Song>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Tiancong_Yang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Wei_Feng_0013>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ziheng_Feng>
swrc:month August (xsd:string)
swrc:pages 107989 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/cea/FengGYHDSWF23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/cea/FengGYHDSWF23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/cea/cea211.html#FengGYHDSWF23>
rdfs:seeAlso <https://doi.org/10.1016/j.compag.2023.107989>
dc:title Estimating the canopy chlorophyll content of winter wheat under nitrogen deficiency and powdery mildew stress using machine learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 211 (xsd:string)