Evidence map›Paper›PMID 41892904›Full record

ArticleJournal of imaging2026

Fine-Grained Age-Class Identification of Moso Bamboo Using an Improved Lightweight YOLO11 Model.

Yingbin Zhang, Xinhuang Zhang, Zhichao Cai, Xi He, Shuwei Chen, Zhengxuan Lai, Kunyong Yu, Riwen Lai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yingbin ZhangCollege of Forestry, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China.
Xinhuang ZhangCollege of Forestry, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China.
Zhichao CaiCollege of Forestry, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China.
Xi HeCollege of Forestry, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China.
Shuwei ChenCollege of Forestry, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China.
Zhengxuan LaiCollege of Forestry, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China.
Kunyong YuCollege of Forestry, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China.
Riwen LaiCollege of Forestry, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Fuzhou 350002, China.

Funding

the National Key R&D Program of China :Multi-Scale Precision and Efficient Monitoring Technology for Bamboo Resources 2023YFD2201205
6 · The paper itself

Abstract

Accurate identification of moso bamboo (

Indexed as

culm age classificationfine-grained recognitionlightweight deep learningmoso bambooYOLO11

Identifiers

PMID41892904
PMCPMC13027948

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.