Use of UAV Imagery to Predict Weed Induced Yield Loss in Maize.

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dc.contributor.advisorRamon Leon Gonzalez, Chair
dc.contributor.advisorRobert Austin, Member
dc.contributor.advisorCharles Cahoon, Member
dc.contributor.authorGoldsmith, Avi Samuel
dc.date.accepted2024-06-12
dc.date.accessioned2024-06-14T12:30:30Z
dc.date.available2024-06-14T12:30:30Z
dc.date.defense2024-04-11
dc.date.issued2024-04-11
dc.date.released2024-06-14
dc.date.reviewed2024-04-25
dc.date.submitted2024-04-17
dc.degree.disciplineCrop Science
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.descriptionNorth Carolina State University Theses Crop Science.
dc.formatM.S. North Carolina State University, 2024.
dc.identifier.otherdeg37588
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/41904
dc.titleUse of UAV Imagery to Predict Weed Induced Yield Loss in Maize.
dcterms.extent1 online resource (ix, 46 pages) : illustrations (some color)

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