Evidence map›Paper›PMID 39959655›Full record

ArticleData in brief2025

Bean leaf image dataset annotated with leaf dimensions, segmentation masks, and camera calibration.

Karla Gabriele Florentino da Silva, Paulo Victor de Magalhães Rozatto, Kaio de Oliveira E Sousa, Lucas Dias Hudson, Artur Welerson Sott Meyer, Alemilson Fabiano Silva, Igor Tibiriçá Mendes, Alex Rodrigues Borges, Leandro Elias Morais, Luiz Maurílio da Silva Maciel and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Karla Gabriele Florentino da SilvaDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil.
Paulo Victor de Magalhães RozattoDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil.
Kaio de Oliveira E SousaDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil.
Lucas Dias HudsonDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil.
Artur Welerson Sott MeyerDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil.
Alemilson Fabiano SilvaDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil.
Igor Tibiriçá MendesDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil.
Alex Rodrigues BorgesDepartment of Natural Sciences, Federal Institute of Education, Science and Technology of Minas Gerais, Ouro Branco, MG, 36494-018, Brazil.
Leandro Elias MoraisDepartment of Natural Sciences, Federal Institute of Education, Science and Technology of Minas Gerais, Ouro Branco, MG, 36494-018, Brazil.
Luiz Maurílio da Silva MacielDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil.
Saulo Moraes VillelaDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil.
Helio PedriniInstitute of Computing, University of Campinas, Campinas, SP, 13083-852, Brazil.
Marcelo Bernardes VieiraDepartment of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf dimensioning is relevant for analyzing plant responses to several conditions such as soil fertility, availability of light, agricultural pesticide effect, and access to water in the soil or periods of drought. In this paper, we present a dataset composed of 6981 images of 612 common bean leaves (

Indexed as

Area estimationDeep learningFiducial markerLeaf measurementSemantic segmentation

Identifiers

PMID39959655
PMCPMC11830349

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.