A novel approach for agricultural domain to predict organic fertilizers based on soil health using deep learning ontology

dc.contributor.guide	Dr M C Supriya
dc.coverage.spatial
dc.creator.researcher	KUSHALA V M
dc.date.accessioned	2024-05-13T09:18:47Z
dc.date.available	2024-05-13T09:18:47Z
dc.date.awarded	2023
dc.date.completed	2023
dc.date.registered	2018
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/564049
dc.language	English
dc.publisher.institution	Computer science and applications
dc.publisher.place	Tumkur
dc.publisher.university	Sri Siddhartha Academy of Higher Education
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Automation and Control Systems
dc.subject.keyword	Computer Science
dc.subject.keyword	Engineering and Technology
dc.title	A novel approach for agricultural domain to predict organic fertilizers based on soil health using deep learning ontology
dc.title.alternative
dc.type.degree	Ph.D.