An effective model for predicting agricultural crop yield on remote sensing hyper-spectral images using adaptive logistic regression classifier. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Hussain_Azath>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Marimuthu_Senbagavalli>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Pon_Harshavardhanan>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Sathiyamoorthi_Velayutham>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1002%2Fcpe.7242>
foaf:homepage	<https://doi.org/10.1002/cpe.7242>
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dcterms:issued	2022 (xsd:gYear)
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rdfs:label	An effective model for predicting agricultural crop yield on remote sensing hyper-spectral images using adaptive logistic regression classifier. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Pon_Harshavardhanan>
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dc:title	An effective model for predicting agricultural crop yield on remote sensing hyper-spectral images using adaptive logistic regression classifier. (xsd:string)
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