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Multispectral Imaging Combined with Tree-Based Ensemble Classifiers for Non-Destructive Varietal Purity Assessment of KDML-105 Rice Seed.

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Title: Multispectral Imaging Combined with Tree-Based Ensemble Classifiers for Non-Destructive Varietal Purity Assessment of KDML-105 Rice Seed.
Authors: Doungpueng, Khunnithi1 (AUTHOR), Prueksawan, Jirasin2 (AUTHOR), Panduangnat, Lalita2,3 (AUTHOR), Somjinda, Prasit1,3 (AUTHOR), Posom, Jetsada2 (AUTHOR) jetspo@kku.ac.th
Source: AgriEngineering. Aug2026, Vol. 8 Issue 8, p348. 28p.
Database: Academic Search Ultimate
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An: 196617060
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  Data: Multispectral Imaging Combined with Tree-Based Ensemble Classifiers for Non-Destructive Varietal Purity Assessment of KDML-105 Rice Seed.
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  Data: <searchLink fieldCode="JN" term="%22AgriEngineering%22">AgriEngineering</searchLink>. Aug2026, Vol. 8 Issue 8, p348. 28p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=196617060
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        Value: 10.3390/agriengineering8080348
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      – Code: eng
        Text: English
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        PageCount: 28
        StartPage: 348
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      – TitleFull: Multispectral Imaging Combined with Tree-Based Ensemble Classifiers for Non-Destructive Varietal Purity Assessment of KDML-105 Rice Seed.
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            NameFull: Prueksawan, Jirasin
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            NameFull: Panduangnat, Lalita
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            NameFull: Somjinda, Prasit
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              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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