Rapid identification of the geographical origin of Baimudan tea using a Multi-AdaBoost model integrated with Raman Spectroscopy

Pan, Wei; Liu, Wenjing; Huang, Xiujuan

doi:10.1016/j.crfs.2023.100654

Current Research in Food Science

2024

DOI: 10.1016/j.crfs.2023.100654

|View full text |Cite

Rapid identification of the geographical origin of Baimudan tea using a Multi-AdaBoost model integrated with Raman Spectroscopy

Wei Pan,

Wenjing Liu,

Xiujuan Huang

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 20 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

High-accuracy classification and origin traceability of peanut kernels based on near-infrared (NIR) spectroscopy using Adaboost - Maximum uncertainty linear discriminant analysis

Zhu,

Wu,

et al. 2024

Current Research in Food Science

View full text Add to dashboard Cite

High-accuracy classification and origin traceability of peanut kernels based on near-infrared (NIR) spectroscopy using Adaboost - Maximum uncertainty linear discriminant analysis

Zhu,

Wu,

et al. 2024

Current Research in Food Science

View full text Add to dashboard Cite

Discriminative feature analysis of dairy products based on machine learning algorithms and Raman spectroscopy

Li,

Qing,

Wang

et al. 2024

Current Research in Food Science

View full text Add to dashboard Cite

A multi-verse optimizer-based CNN-BiLSTM pixel-level detection model for peanut aflatoxins

Wang,

Zhu,

Zhao

et al. 2025

Food Chemistry

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Rapid identification of the geographical origin of Baimudan tea using a Multi-AdaBoost model integrated with Raman Spectroscopy

Cited by 4 publications

References 20 publications

High-accuracy classification and origin traceability of peanut kernels based on near-infrared (NIR) spectroscopy using Adaboost - Maximum uncertainty linear discriminant analysis

High-accuracy classification and origin traceability of peanut kernels based on near-infrared (NIR) spectroscopy using Adaboost - Maximum uncertainty linear discriminant analysis

Discriminative feature analysis of dairy products based on machine learning algorithms and Raman spectroscopy

A multi-verse optimizer-based CNN-BiLSTM pixel-level detection model for peanut aflatoxins

Contact Info

Product

Resources

About