Advancing tea detection with artificial intelligence: Strategies, progress, and future prospects
Publication type: Journal Article
Publication date: 2024-11-01
scimago Q1
wos Q1
SJR: 3.247
CiteScore: 34.2
Impact factor: 15.4
ISSN: 09242244, 18793053
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Metrics
21
Total citations:
21
Citations from 2024:
20
(95.24%)
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RIS |
BibTex
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GOST
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XU Q. et al. Advancing tea detection with artificial intelligence: Strategies, progress, and future prospects // Trends in Food Science and Technology. 2024. Vol. 153. p. 104731.
GOST all authors (up to 50)
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XU Q., Xu Q., Zhou Y., Wu L. Advancing tea detection with artificial intelligence: Strategies, progress, and future prospects // Trends in Food Science and Technology. 2024. Vol. 153. p. 104731.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.tifs.2024.104731
UR - https://linkinghub.elsevier.com/retrieve/pii/S0924224424004072
TI - Advancing tea detection with artificial intelligence: Strategies, progress, and future prospects
T2 - Trends in Food Science and Technology
AU - XU, QILIN
AU - Xu, Quan
AU - Zhou, Yifeng
AU - Wu, Linlin
PY - 2024
DA - 2024/11/01
PB - Elsevier
SP - 104731
VL - 153
SN - 0924-2244
SN - 1879-3053
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2024_XU,
author = {QILIN XU and Quan Xu and Yifeng Zhou and Linlin Wu},
title = {Advancing tea detection with artificial intelligence: Strategies, progress, and future prospects},
journal = {Trends in Food Science and Technology},
year = {2024},
volume = {153},
publisher = {Elsevier},
month = {nov},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0924224424004072},
pages = {104731},
doi = {10.1016/j.tifs.2024.104731}
}