A Data Processing, Feature Engineering, Variable Selection, and Machine Learning Modeling Framework for Predictive Agriculture.

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dc.contributor.advisorDaniela Jones, Chair
dc.contributor.advisorCranos Williams, Member
dc.contributor.advisorGeorge Yencho, Member
dc.contributor.advisorJohn Gottula, External
dc.contributor.authorHunt, Rachelle Lee
dc.date.accepted2022-10-03
dc.date.accessioned2022-10-14T12:30:18Z
dc.date.available2022-10-14T12:30:18Z
dc.date.defense2022-09-13
dc.date.issued2022-09-13
dc.date.released2022-10-14
dc.date.reviewed2022-09-21
dc.date.submitted2022-09-20
dc.degree.disciplineBiological & Agri Engineering
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.descriptionNorth Carolina State University Theses Biological and Agricultural Engineering.
dc.formatM.S. North Carolina State University, 2022.
dc.identifier.otherdeg30973
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40005
dc.titleA Data Processing, Feature Engineering, Variable Selection, and Machine Learning Modeling Framework for Predictive Agriculture.
dcterms.extent1 online resource (xii, 111 pages) : illustrations (some color)

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