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Dataset Information

Chrysanthemum classification method integrating deep visual features from both the front and back sides.


ABSTRACT:

Introducion

Chrysanthemum morifolium Ramat (hereinafter referred to as Chrysanthemum) is one of the most beloved and economically valuable Chinese herbal crops, which contains abundant medicinal ingredients and wide application prospects. Therefore, identifying the classification and origin of Chrysanthemum is important for producers, consumers, and market regulators. The existing Chrysanthemum classification methods mostly rely on visual subjective identification, are time-consuming, and always need high equipment costs.

Methods

A novel method is proposed to accurately identify the Chrysanthemum classification in a swift, non-invasive, and non-contact way. The proposed method is based on the fusion of deep visual features of both the front and back sides. Firstly, the diffe

SUBMITTER: Chen Y 

PROVIDER: S-EPMC11790631 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature