Updating Cotton Replanting Recommendations Using a Novel UAV-based Method to Detect Size and Frequency of Skips in Suboptimal Stands.

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dc.contributor.advisorJason Ward, Chair
dc.contributor.advisorNatalie Nelson Sagues, Member
dc.contributor.advisorGuy Collins, Member
dc.contributor.authorPena Martinez, Enrique Eduardo
dc.date.accepted2021-04-16
dc.date.accessioned2021-04-18T12:30:51Z
dc.date.available2021-04-18T12:30:51Z
dc.date.defense2021-04-02
dc.date.issued2021-04-02
dc.date.released2021-04-18
dc.date.reviewed2021-04-05
dc.date.submitted2021-04-01
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, 2021.
dc.identifier.otherdeg24992
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38729
dc.titleUpdating Cotton Replanting Recommendations Using a Novel UAV-based Method to Detect Size and Frequency of Skips in Suboptimal Stands.
dcterms.extent1 online resource (ix, 60 pages) : illustrations

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