Evidence map›Paper›PMID 40133933›Full record

ArticlePlant methods2025

A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass.

Chengming Ou, Zhicheng Jia, Shiqiang Zhao, Shoujiang Sun, Ming Sun, Jingyu Liu, Manli Li, Shangang Jia, Peisheng Mao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plant methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Chengming Ou *College of Grassland Science and Technology, Key Laboratory of Pratacultural Science, China Agricultural University, Beijing Municipality, Beijing, 100193, China.
Zhicheng Jia *College of Grassland Science and Technology, Key Laboratory of Pratacultural Science, China Agricultural University, Beijing Municipality, Beijing, 100193, China.
Shiqiang ZhaoCollege of Grassland Science and Technology, Key Laboratory of Pratacultural Science, China Agricultural University, Beijing Municipality, Beijing, 100193, China.
Shoujiang SunCollege of Grassland Science and Technology, Key Laboratory of Pratacultural Science, China Agricultural University, Beijing Municipality, Beijing, 100193, China.
Ming SunCollege of Grassland Science and Technology, Key Laboratory of Pratacultural Science, China Agricultural University, Beijing Municipality, Beijing, 100193, China.
Jingyu LiuCollege of Grassland Science and Technology, Key Laboratory of Pratacultural Science, China Agricultural University, Beijing Municipality, Beijing, 100193, China.
Manli LiCollege of Grassland Science and Technology, Key Laboratory of Pratacultural Science, China Agricultural University, Beijing Municipality, Beijing, 100193, China.
Shangang JiaCollege of Grassland Science and Technology, Key Laboratory of Pratacultural Science, China Agricultural University, Beijing Municipality, Beijing, 100193, China.
Peisheng MaoCollege of Grassland Science and Technology, Key Laboratory of Pratacultural Science, China Agricultural University, Beijing Municipality, Beijing, 100193, China. maops@cau.edu.cn.

Funding

Agriculture Research System of China CARS-34
6 · The paper itself

Abstract

Smooth bromegrass (Bromus inermis) was adopted as experiment materials for identifying the seed maturity using a combination of multispectral imaging and machine learning. The trials were conducted to investigate the effects of three nitrogen application levels (0, 100 and 200 kg N ha

Indexed as

Multispectral imagingNitrogenSeed maturitySmooth bromegrassStacking ensemble

Identifiers

PMID40133933
PMCPMC11938725

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.