Hyperspectral Imaging and Machine Learning for Diagnosing Rice Bacterial Blight Symptoms Caused by

Meng Zhang, Shuqi Tang, Chenjie Lin, Zichao Lin, Liping Zhang, Wei Dong, Nan Zhong

Abstract read

In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it

0cells of the map it votes in

4citing 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

4 citing papers in PubMed.

Exploring the Hyperspectral Response of Quercetin inPlants (Basel, Switzerland) · 2025
Article
Identification of HybridBiosensors · 2025
Article
Identification of tobacco leaf diseases using hyperspectral imaging and machine learning with SHAP interpretability analysis.Frontiers in plant science · 2025
Article
A hyperspectral imaging and machine learning approach for rapid and non-invasive diagnosis of cassava bacterial blight.Frontiers in plant science · 2025
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

7 authors.

Meng ZhangCollege of Engineering, South China Agricultural University, Guangzhou 510642, China.ORCID 0009-0001-0454-5054

Shuqi TangCollege of Engineering, South China Agricultural University, Guangzhou 510642, China.

Chenjie LinCollege of Engineering, South China Agricultural University, Guangzhou 510642, China.

Zichao LinCollege of Engineering, South China Agricultural University, Guangzhou 510642, China.

Liping ZhangAgricultural Economy and Information Research Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, China.

Wei DongAgricultural Economy and Information Research Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, China.ORCID 0000-0003-2989-6827

Nan ZhongCollege of Engineering, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0001-5371-9957

Funding

Central Leading Local Science and Technology Development Special Plan 202407a12020010National Key Research and Development Program of China 2021YFD20002National Natural Science Foundation of China 32072363Research Project of Anhui Academy of Agricultural Sciences 2024YL018Science and Technology Planning Project of Guangdong Province 2021B1212040009

6 · The paper itself

Abstract

In rice, infections caused by

Indexed as

convolutional neural networksEnterobacter asburiaegenerative adversarial networkshyperspectral imagingPantoea ananatisrice bacterial blightXanthomonas oryzae pv. oryzae

Identifiers

PMID40094618

DOI10.3390/plants14050733

PMCPMC11901819

What OpenQuestion holds

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Registered trials

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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.