Rapid identification of chrysanthemum teas by computer vision and deep learning
Published 2020 View Full Article
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Title
Rapid identification of chrysanthemum teas by computer vision and deep learning
Authors
Keywords
-
Journal
Food Science & Nutrition
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-03-04
DOI
10.1002/fsn3.1484
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- (2015) Yann LeCun et al. NATURE
- Effects of drying methods on the phytochemicals contents and antioxidant properties of chrysanthemum flower heads harvested at two developmental stages
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- (2014) Yingjian Lu et al. FOOD CHEMISTRY
- Partial Least-Squares-Discriminant Analysis Differentiating Chinese Wolfberries by UPLC–MS and Flow Injection Mass Spectrometric (FIMS) Fingerprints
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- Coreosides A–D, C14-polyacetylene glycosides from the capitula of Coreopsis tinctoria and its anti-inflammatory activity against COX-2
- (2013) Yuan Zhang et al. FITOTERAPIA
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