Devising Hybrid Machine Learning Models Fused with Intelligent Irrigation System to Enhance Sugarcane Crop Productivity

Simple item page
dc.contributor.guideS Balamurali
dc.coverage.spatial
dc.creator.researcherR Revathy
dc.date.accessioned2022-09-08T07:19:29Z
dc.date.available2022-09-08T07:19:29Z
dc.date.awarded2022
dc.date.completed2022
dc.date.registered2017
dc.description.abstractnewline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/403834
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Applications
dc.publisher.placeVirudhunagar
dc.publisher.universityKalasalingam University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.titleDevising Hybrid Machine Learning Models Fused with Intelligent Irrigation System to Enhance Sugarcane Crop Productivity
dc.title.alternative
dc.type.degreePh.D.

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
80_recommendation.pdf
Size:
353.45 KB
Format:
Adobe Portable Document Format
Description:
Attached File
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.79 KB
Format:
Plain Text
Description:
Download

Collections

Department of Computer Applications