Evidence map›Paper›PMID 39649002›Full record

ArticlePhotosynthetica2022

Sensing and classification of rice (

Q Xia, L J Fu, H Tang, L Song, J L Tan, Y Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Photosynthetica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Determination of rice (Photosynthetica · 2025
    Article
  3. Review
  4. Article
  5. Frontiers in plant science · 2023
    Article
  6. Editorial.Photosynthetica · 2022
    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

6 authors.

Q XiaKey Laboratory of Advanced Process Control for Light Industry, Ministry of Education, School of IoT, Jiangnan University, 214122 Wuxi, China.
L J FuKey Laboratory of Advanced Process Control for Light Industry, Ministry of Education, School of IoT, Jiangnan University, 214122 Wuxi, China.
H TangKey Laboratory of Advanced Process Control for Light Industry, Ministry of Education, School of IoT, Jiangnan University, 214122 Wuxi, China.
L SongJoint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, 225009 Yangzhou, China.
J L TanDepartment of Bioengineering, University of Missouri, Columbia, MO 65211, USA.
Y GuoKey Laboratory of Advanced Process Control for Light Industry, Ministry of Education, School of IoT, Jiangnan University, 214122 Wuxi, China.ORCID https://orcid.org/0000-0002-8016-988X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensing and classification of drought stress levels are very important to agricultural production. In this work, rice drought stress levels were classified based on the commonly used chlorophyll

Indexed as

chlorophyll a fluorescencedrought stressEnsemble modelK-Nearest NeighborsSupport vector machine

Identifiers

PMID39649002
PMCPMC11559473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.