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Phenotyping Canola (Brassica napus L.) Agronomic Traits and Estimating Seed Yield Using Unoccupied Aerial Vehicle (UAV)-based Multispectral Imagery

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dc.contributor.advisorShirtliffe, Steve
dc.contributor.committeeMemberBai, Yuguang
dc.contributor.committeeMemberVail, Sally
dc.contributor.committeeMemberBueckert, Rosalind
dc.contributor.committeeMemberGuo, Xulin
dc.creatorZhang, Ti
dc.date.accessioned2022-04-28T15:34:59Z
dc.date.created2022-04
dc.date.issued2022-04-28
dc.date.submittedApril 2022
dc.date.updated2022-04-28T15:35:00Z
dc.description.abstract
This item is under an embargo. Access to the abstract will not be permitted until 2025-04-28
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10388/13927
dc.language.isoen
dc.subjectCanola
dc.subjectUAV
dc.subjectMultispectral imagery
dc.subjectYield estimation
dc.subjectFlowering traits
dc.subjectCanopy height
dc.titlePhenotyping Canola (Brassica napus L.) Agronomic Traits and Estimating Seed Yield Using Unoccupied Aerial Vehicle (UAV)-based Multispectral Imagery
dc.typeThesis
dc.type.materialtext
local.embargo.lift2025-04-28
local.embargo.terms2025-04-28
thesis.degree.departmentPlant Sciences
thesis.degree.disciplinePlant Sciences
thesis.degree.grantorUniversity of Saskatchewan
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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