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  4. Computer Science Project Report, 2019-2020
Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/6183
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dc.contributor.authorPravallika A S K S, Saniya, Kousalya R-
dc.date.accessioned2021-07-19T05:20:33Z-
dc.date.available2021-07-19T05:20:33Z-
dc.date.issued2020-07-
dc.identifier.citation1CR17CS409, 1CR16CS147, 1CR17CS405en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/6183-
dc.descriptionInternal Guide & External Guide : Rubini P E, Prem Kumar Rameshen_US
dc.language.isoen_USen_US
dc.publisherCMR Institute of Technology. Bangaloreen_US
dc.relation.ispartofseries;PR3180-
dc.subjectComputer Science Project Report, 2019-2020en_US
dc.titleA Model To Predict The Crop Based On Soil Composition Using Machine Learning Techniquesen_US
dc.title.alternativeComputer Science Project Report, 2019-2020en_US
dc.typeThesisen_US
Appears in Collections:Computer Science Project Report, 2019-2020

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