Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    Browsing 2017 MU theses - Freely available online by Title 
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Theses (MU)
    • 2017 Theses (MU)
    • 2017 MU theses - Freely available online
    • Browsing 2017 MU theses - Freely available online by Title
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Theses (MU)
    • 2017 Theses (MU)
    • 2017 MU theses - Freely available online
    • Browsing 2017 MU theses - Freely available online by Title
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CollectionDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    Browsing 2017 MU theses - Freely available online by Title "Multispectral canopy reflectance and digital imaging to determine maturity"

    • 0-9
    • A
    • B
    • C
    • D
    • E
    • F
    • G
    • H
    • I
    • J
    • K
    • L
    • M
    • N
    • O
    • P
    • Q
    • R
    • S
    • T
    • U
    • V
    • W
    • X
    • Y
    • Z

    Sort by:

    Order:

    Results:

    Now showing items 1-1 of 1

    • Title
    • Date Issued
    • ascending (A-Z)
    • descending (Z-A)
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    • Multispectral canopy reflectance and digital imaging to determine maturity 

      Davis, Brandon R. (University of Missouri--Columbia, 2017)
      Soybean breeders and producers may benefit from approaches that can quickly and quantitatively measure soybean developmental stages. To better predict developmental stages, seasonal dynamics of soybean canopies were ...

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems