Evidence map›Paper›PMID 42528833›Full record

ArticleFrontiers in plant science2026

Monitoring of the growth of

Peng Wang, Hongrong Wang, Yang Zhao, Chengde Wang, Huiyuan Yuan, Xiangzhi Li, Shipeng Hou

Abstract read
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

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

7 authors.

Peng WangSchool of Forestry Engineering, Shandong Agriculture and Engineering University, Jinan, China.
Hongrong WangSichuan Forestry and Grassland Survey and Planning Institute, Chengdu, China.
Yang ZhaoSchool of Forestry Engineering, Shandong Agriculture and Engineering University, Jinan, China.
Chengde WangSichuan Forestry and Grassland Survey and Planning Institute, Chengdu, China.
Huiyuan YuanSchool of Aeronautics and Astronautics, Xihua University, Chengdu, China.
Xiangzhi LiSchool of Forestry Engineering, Shandong Agriculture and Engineering University, Jinan, China.
Shipeng HouSchool of Forestry Engineering, Shandong Agriculture and Engineering University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tree growth monitoring provides a basis for understanding tree nutritional needs, and formulating and optimizing scientific fertilization strategies, and is essential for realizing precision forestry. Computer vision can be used to reconstruct the three-dimensional geometric structure of trees from two-dimensional images, which is highly beneficial for managing and planning tree growth. Based on a binocular vision system, this study proposes an approach for monitoring the growth of

Indexed as

binocular visionErythrophleum fordiigrowth monitoringphosphorus application levelthree-dimensional reconstruction

Identifiers

PMID42528833
PMCPMC13415931

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.