Machine Learning Applications in Sweetpotato Production: A Comprehensive Approach to Yield Improvement.

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dc.contributor.advisorDaniela Jones, Chair
dc.contributor.advisorMichael Kudenov, Member
dc.contributor.advisorCranos Williams, Member
dc.contributor.advisorAnderson de Queiroz, Minor
dc.contributor.authorMcDowell, Shana Monique
dc.date.accepted2025-07-14
dc.date.accessioned2025-07-24T12:30:42Z
dc.date.available2025-07-24T12:30:42Z
dc.date.defense2025-04-23
dc.date.issued2025-04-23
dc.date.released2025-07-24
dc.date.reviewed2025-05-17
dc.date.submitted2025-05-13
dc.degree.disciplineBiological & Agri Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg42483
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/45586
dc.titleMachine Learning Applications in Sweetpotato Production: A Comprehensive Approach to Yield Improvement.

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