logo
ResearchBunny Logo
Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform-Near-Infrared Spectroscopy and Machine Learning

Food Science and Technology

Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform-Near-Infrared Spectroscopy and Machine Learning

S. Ye, H. Weng, et al.

Unlock the secrets of tea polyphenols and EGCG with cutting-edge FT-NIR spectroscopy and machine learning. Join Sitan Ye, Haiyong Weng, Lirong Xiang, Liangquan Jia, and Jinchai Xu as they reveal powerful predictive models that promise rapid screening for tea quality.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Recent Advancements and Perspectives in the Diagnosis of Skin Diseases Using Machine Learning and Deep Learning: A Review
Medicine and Health

Recent Advancements and Perspectives in the Diagnosis of Skin Diseases Using Machine Learning and Deep Learning: A Review

J. Zhang, F. Zhong, et al.

Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms
Engineering and Technology

Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms

M. A. Khan, B. Asad, et al.

Using machine learning to understand social isolation and loneliness in schizophrenia, bipolar disorder, and the community
Psychology

Using machine learning to understand social isolation and loneliness in schizophrenia, bipolar disorder, and the community

S. J. Abplanalp, M. F. Green, et al.

Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations
Medicine and Health

Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations

J. Falcó-roget, A. Cacciola, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny