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  <responseDate>2026-04-30T02:23:01Z</responseDate>
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        <identifier>oai:meral.edu.mm:recid/5410</identifier>
        <datestamp>2021-12-13T02:24:21Z</datestamp>
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          <dc:title>Automatic Assessing Body Condition Score from Digital Images by Active Shape Model and Multiple Regression Technique</dc:title>
          <dc:creator>Nay Chi Lynn</dc:creator>
          <dc:creator>Thi Thi Zin</dc:creator>
          <dc:creator>Ikuo Kobayashi</dc:creator>
          <dc:description>Body Condition Score (BCS) of a dairy cow is a magnificent indicator for determining energy reserves of cows. The
purpose of this study is to assess BCS of dairy cattle by analyzing cows’ rear-view images. In order to do so, we first
model shape of cow’s tailhead area by using active shape model. Then, angle features are modelled as multiple
regression model for estimating scores. The experimental results show that proposed system is promising compared
to some existing methods.</dc:description>
          <dc:date>2017-01-22</dc:date>
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          <dc:identifier>https://meral.edu.mm/records/5410</dc:identifier>
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