Correction: MobileNetV2-based classification of premium tea leaves for optimized production

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Authors: Indrarini Dyah Irawati, Anyelia Adianggiali
Cited by: 0

Abstract

Correction on: Irawati, I. D., & Adianggiali, A. (2025). MobileNetV2-based classification of premium tea leaves for optimized production. Frontiers in Sensors, 6, 1625488. https://doi.org/10.3389/fsens.2025.1625488.Funder name incorrect An incorrect Funding statement was provided. The correct funder is Telkom University and Universiti Malaysia Pahang Al-Sultan Abdullah the correct funding statement reads: 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 original version of this article has been updated.The funding information was erroneously omitted in the published 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 original version of this article has been updated.

Fields of Study & Subjects

Smart Agriculture and AI Advanced Neural Network Applications Industrial Vision Systems and Defect Detection

Publication details

Journal / source
Frontiers in Sensors
Volume
7
Publication date
5 March 2026
Language
EN