Correction: MobileNetV2-based classification of premium tea leaves for optimized production
- Indrarini Dyah Irawati1,2*corresponding author
- Anyelia Adianggiali1
- 1Telecommunication Technology Study Program, School of Applied Science, Telkom University, Main Campus (Bandung Campus), Bandung, West Java, Indonesia
- 2Center of Excellence for Green Technology, Research Institute for Intelligent Business and Sustainable Economy, Telkom University, Main Campus (Bandung Campus), Bandung, West Java, Indonesia
Abstract
Keywords
The funders Telkom University and Universiti Malaysia Pahang Al-Sultan Abdullah were erroneously omitted. The correct Funding statement reads:
“The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the 2024 Internal Research Grant of Telkom University under the project entitled “Rantea Application: Optimizing with AIoT Integration for Quality Test of Black Tea to Increase Tea Production,” with additional funding support provided through a collaborative international research partnership with Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia.”
The Acknowledgments section was missing. This section reads:
“The authors are grateful to Telkom University for providing academic and technical support throughout this research and to Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia, for its contribution to the research collaboration.”
The original article has been updated.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Footnotes
Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland
Citation
Irawati, I. D. & Adianggiali, A. (2026). Correction: MobileNetV2-based classification of premium tea leaves for optimized production. Frontiers in Sensors, Volume 7. https://doi.org/
- Received
- Accepted
- Published
- Volume
- 7 - 2026
Copyright
Copyright © 2026 Irawati and Adianggiali.
License: https://creativecommons.org/licenses/by/4.0/
*Correspondence: Indrarini Dyah Irawati
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