Evidence map›Paper›PMID 42689147›Full record

ArticleFrontiers in plant science2026

Correction: From architectural complexity to minimalist optimization: refining microscopic tea disease detection via Opti-YOLOv11n.

Can Hu, Zhenyan Liu, Qinzi Li, Yihan Yan, Fang Liu, Yuhaohang He, Xiaosong Li, Hongxu Chen, Chunjing Yang, Jingze Li and 3 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Can Hu *Deyang Agricultural College, Deyang, China.
Zhenyan Liu *Deyang Agricultural College, Deyang, China.
Qinzi Li *Sichuan Agricultural University, Yaan, China.
Yihan YanSichuan Agricultural University, Yaan, China.
Fang LiuSichuan Agricultural University, Yaan, China.
Yuhaohang HeTechnology R&D Center, Sichuan Teqi Tea Industry Co, Ltd, Chengdu, China.
Xiaosong LiTongren Academy of Agricultural Sciences, Tongren, China.
Hongxu ChenSichuan Agricultural University, Yaan, China.
Chunjing YangSichuan Agricultural University, Yaan, China.
Jingze LiSichuan Agricultural University, Yaan, China.
Mengke WeiSichuan Agricultural University, Yaan, China.
Yunsen LiangSichuan Agricultural University, Yaan, China.
Xiaoqing YuanDeyang Agricultural College, Deyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.3389/fpls.2026.1871513.].

Indexed as

micro-lesion identificationminimalist optimizationphysical resolution scalingtea disease detectionYOLOv11n

Identifiers

PMID42689147
PMCPMC13536469

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.