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Please use this identifier to cite or link to this item: http://www.ir.juit.ac.in:8080/jspui/jspui/handle/123456789/14826
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dc.contributor.authorThakur, Shailza-
dc.contributor.authorSood, Hemant [Guided by]-
dc.contributor.authorJain, Nishant [Guided by]-
dc.date.accessioned2026-09-10T11:07:19Z-
dc.date.available2026-09-10T11:07:19Z-
dc.date.issued2025-
dc.identifier.urihttp://www.ir.juit.ac.in:8080/jspui/jspui/handle/123456789/14826-
dc.descriptionMTD232511 [Enrollment No. 235011004]en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectBiotechnologyen_US
dc.subjectHydroponicsen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectPhytochemical screeningen_US
dc.titleAI Based Predicting System for Tracking the Growth of Stevia rebaudiana under In vitro and in Hydroponic conditionsen_US
dc.typeDissertationen_US
Appears in Collections:Dissertations (M.Tech.)

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