Please use this identifier to cite or link to this item: http://111.93.178.142:25000/jspui/handle/123456789/8189
Full metadata record
DC FieldValueLanguage
dc.contributor.authorP. Maragathavalli-
dc.date.accessioned2026-10-26T06:56:40Z-
dc.date.available2026-10-26T06:56:40Z-
dc.date.issued2026-10-26-
dc.identifier.urihttp://111.93.178.142:25000/jspui/handle/123456789/8189-
dc.descriptionVol. 127, No. 9, p 1108en_US
dc.language.isoenen_US
dc.subjectAgricultureen_US
dc.subjectconvolutional neural networken_US
dc.subjectcropen_US
dc.subjectdeep learningen_US
dc.subjectgeneral sdversarial networken_US
dc.titleThe hybrid feature incorporated dual deep learning architecture for the automatic jasmine plant disease detection and classificationen_US
dc.typeOtheren_US
Appears in Collections:Vol. 127 No 9, 2024

Files in This Item:
File Description SizeFormat 
1.pdfVol. 127, No. 9, p 1108248.63 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.