Understanding Nutrient Status of High Yielding Corn Varieties Using Hyperspectral Imaging and Corn Yield Contest Data.

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dc.contributor.advisorJeffrey White, Chair
dc.contributor.advisorCarl Crozier, Member
dc.contributor.advisorMichael Kudenov, Member
dc.contributor.advisorCranos Williams, Member
dc.contributor.advisorMarcela Pierce, Graduate School Representative
dc.contributor.authorOhletz, Janel Louise
dc.date.accepted2020-08-26
dc.date.accessioned2020-08-28T12:30:43Z
dc.date.available2020-08-28T12:30:43Z
dc.date.defense2020-08-13
dc.date.issued2020-08-13
dc.date.released2020-08-28
dc.date.reviewed2020-08-19
dc.date.submitted2020-08-17
dc.degree.disciplineSoil Science
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Soil Science.
dc.formatPh.D. North Carolina State University, 2020.
dc.identifier.otherdeg22754
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38250
dc.titleUnderstanding Nutrient Status of High Yielding Corn Varieties Using Hyperspectral Imaging and Corn Yield Contest Data.
dcterms.extent1 online resource (xviii, 145 pages) : illustrations

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