Wild Chrysanthemums Core Collection: Studies on Leaf Identification

نویسندگان

چکیده

Wild chrysanthemums mainly present germplasm collections such as leaf multiform, flower color, aroma, and secondary compounds. chrysanthemum identification is critical for farm owners, breeders, researchers with or without the flowering period. However, few studies are related to color recognition. This study contributes classification method by rapidly recognizing varieties of wild through a support vector machine (SVM). The principal contributions this article are: (1) an assembled collection verified dataset that has been achieved improved; (2) adjusted SVM model offered deal complex backgrounds presented smartphone pictures using shape results be more attractive than original process. As our presents, proposed viable application in real-picture smartphones can help further investigate identification.

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ژورنال

عنوان ژورنال: Horticulturae

سال: 2022

ISSN: ['2311-7524']

DOI: https://doi.org/10.3390/horticulturae8090839