Search Results - Tsutsuki, Kan

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  1. 1
    Machine learning and multiple linear regression models can predict ascorbic acid and polyphenol contents, and antioxidant activity in strawberries

    Machine learning and multiple linear regression models can predict ascorbic acid and polyphenol contents, and antioxidant activity in strawberries by Zushi, Kazufumi, Yamamoto, Miyu, Matsuura, Momoka, Tsutsuki, Kan, Yonehana, Asumi, Imamura, Ren, Takahashi, Hiromi, Kirimura, Masaaki

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  2. 2
    Correlation Network Analysis Visually Identifies Interactions of Antioxidant Compounds with Plant Growth, Leaf Photosynthetic Performance, and Agronomic Quality in Strawberry

    Correlation Network Analysis Visually Identifies Interactions of Antioxidant Compounds with Plant Growth, Leaf Photosynthetic Performance, and Agronomic Quality in Strawberry by ZUSHI, Kazufumi, TSUTSUKI, Kan, TAKAHASHI, Hiromi, KIRIMURA, Masaaki

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  3. 3
    Tissue-dependent seasonal variation and predictive models of strawberry firmness

    Tissue-dependent seasonal variation and predictive models of strawberry firmness by Zushi, Kazufumi, Yamamoto, Miyu, Matsuura, Momoka, Tsutsuki, Kan, Yonehana, Asumi, Imamura, Ren, Takahashi, Hiromi, Kirimura, Masaaki

    Published in Scientia horticulturae
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