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2009b (ls-svm toolbox)  (MathWorks Inc)


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    MathWorks Inc 2009b (ls-svm toolbox)
    Selected applications of NIR-hyperspectral imaging in agriculturally important seeds (reflectance mode).
    2009b (Ls Svm Toolbox), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/2009b (ls-svm toolbox)/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    2009b (ls-svm toolbox) - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview"

    Article Title: Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview

    Journal: Sensors (Basel, Switzerland)

    doi: 10.3390/s22051981

    Selected applications of NIR-hyperspectral imaging in agriculturally important seeds (reflectance mode).
    Figure Legend Snippet: Selected applications of NIR-hyperspectral imaging in agriculturally important seeds (reflectance mode).

    Techniques Used: Imaging, Selection, Software, Plasmid Preparation



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    MathWorks Inc 2009b (ls-svm toolbox)
    Selected applications of NIR-hyperspectral imaging in agriculturally important seeds (reflectance mode).
    2009b (Ls Svm Toolbox), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/2009b (ls-svm toolbox)/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    2009b (ls-svm toolbox) - by Bioz Stars, 2026-03
    90/100 stars
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    Selected applications of NIR-hyperspectral imaging in agriculturally important seeds (reflectance mode).

    Journal: Sensors (Basel, Switzerland)

    Article Title: Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview

    doi: 10.3390/s22051981

    Figure Lengend Snippet: Selected applications of NIR-hyperspectral imaging in agriculturally important seeds (reflectance mode).

    Article Snippet: Maize seed varietal classification (n = 1632) , PCA; LS-SVM , 400–1000 nm , Wavelength selections: multi-linear discriminant analysis (MLDA) vs. UVE and SPA , ENVI 4.3 , MATLAB 2009b (LS-SVM toolbox) , Full wavelength: calibration of 100% and prediction of 93.26%. Wavelengths, 5–15 selected: MLDA calibration of 99.39–99.88% and prediction of 90.40–93.81%; UVE calibration of 99.46–99.85% and prediction of 88.20–91.94%; SPA: calibration of 98.66–99.40% and prediction of 80.8–87.40% , [ ] .

    Techniques: Imaging, Selection, Software, Plasmid Preparation