Analysis of classification algorithms to predict soil susceptibility pesticide usage and human health issues using choquistic regression and quasi poisson algorithms

dc.contributor.guide	Ravichandran M
dc.coverage.spatial
dc.creator.researcher	Beulah R
dc.date.accessioned	2023-04-17T11:01:40Z
dc.date.available	2023-04-17T11:01:40Z
dc.date.awarded	2021
dc.date.completed	2021
dc.date.registered	2016
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/476262
dc.language	English
dc.publisher.institution	Department of Computer Science
dc.publisher.place	Coimbatore
dc.publisher.university	Bharathiar University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Theory and Methods
dc.subject.keyword	Engineering and Technology
dc.title	Analysis of classification algorithms to predict soil susceptibility pesticide usage and human health issues using choquistic regression and quasi poisson algorithms
dc.title.alternative
dc.type.degree	Ph.D.