TDS-YOLO: a lightweight detection model for fine-grained segmentation of tea leaf diseases

The proposed approach provides an efficient and robust solution for real-time monitoring of tea diseases, supporting precision tea plantation management and broader smart digital agriculture applications.

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Publication Details

Journal
Frontiers in Plant Science
Published
2026-03-09
DOI
https://doi.org/10.3389/fpls.2026.1769143
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

TDS-YOLO: a lightweight detection model for fine-grained segmentation of tea leaf diseases

Weiwei Zu, Ting Wang, Qizhao Xie, Liangquan Jia et al.
Frontiers in Plant Science
Smart Agriculture and AI
article

TDS-YOLO: a lightweight detection model for fine-grained segmentation of tea leaf diseases

Weiwei Zu, Ting Wang, Qizhao Xie, Liangquan Jia, Yusmadi Yah Jusoh
article en

Abstract

The proposed approach provides an efficient and robust solution for real-time monitoring of tea diseases, supporting precision tea plantation management and broader smart digital agriculture applications.

Frontiers in Plant ScienceVol. 17
Universiti Putra Malaysia (MY), Huzhou Normal University (CN)
Zero hunger
Openalex Percentile: Top 30%
Smart Agriculture and AI
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TDS-YOLO: a lightweight detection model for fine-grained segmentation of tea leaf diseases — Weiwei Zu, Ting Wang, et al. · Frontiers in Plant Science (2026) | TGRS Research Map | TGRS