Enhanced multi scale dilated hybrid adaptive networks for plant disease classification and abnormality segmentation

dc.contributor.guide	Prasath R
dc.coverage.spatial	Enhanced multi scale dilated hybrid adaptive networks for plant disease classification and abnormality segmentation
dc.creator.researcher	Naga Chandrika Bathula
dc.date.accessioned	2025-11-26T08:28:15Z
dc.date.available	2025-11-26T08:28:15Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions	21cm.
dc.format.extent	xvi,118p.
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/676391
dc.language	English
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	p.111-117
dc.rights	university
dc.source.university	University
dc.subject.keyword	abnormality segmentation
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Biomedical
dc.subject.keyword	multi scale dilated hybrid
dc.subject.keyword	plant disease classification
dc.title	Enhanced multi scale dilated hybrid adaptive networks for plant disease classification and abnormality segmentation
dc.title.alternative
dc.type.degree	Ph.D.