Evidence map›Paper›PMID 41732354›Full record

ArticleData in brief2026

An open image dataset of Indonesian soybean seed varieties (Anjasmoro, Grobogan, DEGA-1) for agricultural research and machine learning applications.

Diana Sofia Hanafiah, Rahmatika Alfi, Anggria Lestami, Fanindia Purnamasari, Rossy Nurhasanah, Muhammad Ariyo Syahraza, Muhammad Azis Saputra, Usman Ismail Pane, Steven Manurung, Keisya and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 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

13 authors.

Diana Sofia HanafiahFaculty of Agriculture, Universitas Sumatera Utara, Medan 20155, Indonesia.
Rahmatika AlfiFaculty of Agriculture, Universitas Sumatera Utara, Medan 20155, Indonesia.
Anggria LestamiFaculty of Agriculture, Universitas Sumatera Utara, Medan 20155, Indonesia.
Fanindia PurnamasariFaculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan 20155, Indonesia.
Rossy NurhasanahFaculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan 20155, Indonesia.
Muhammad Ariyo SyahrazaFaculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan 20155, Indonesia.
Muhammad Azis SaputraFaculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan 20155, Indonesia.
Usman Ismail PaneFaculty of Agriculture, Universitas Sumatera Utara, Medan 20155, Indonesia.
Steven ManurungFaculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan 20155, Indonesia.
KeisyaFaculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan 20155, Indonesia.
Yunus Tio BuntoroFaculty of Agriculture, Universitas Sumatera Utara, Medan 20155, Indonesia.
Josua Peter CordaFaculty of Agriculture, Universitas Sumatera Utara, Medan 20155, Indonesia.
Gali RakasiwiFaculty of Agriculture, Universitas Sumatera Utara, Medan 20155, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean (

Indexed as

Agricultural imagingComputer visionPlant breedingSegmentationSoybean

Identifiers

PMID41732354
PMCPMC12925431

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.