Evidence map›Paper›PMID 41305135›Full record

ArticleSensors (Basel, Switzerland)2025

YOLOv12-BDA: A Dynamic Multi-Scale Architecture for Small Weed Detection in Sesame Fields.

Guofeng Xia, Xin Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

2 authors.

Guofeng XiaSchool of Mechanical Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
Xin LiSchool of Mechanical Engineering, Chongqing Three Gorges University, Chongqing 404100, China.

Funding

the Chongqing Municipal Natural Science Foundation cstc2019jcyj-msxm1239the Science and Technology Research Program of Chongqing Municipal Education Commission KJQN202401211
6 · The paper itself

Abstract

Sesame (

Indexed as

Plant WeedsSesamumAgricultureAlgorithmsCrops, AgriculturalNeural Networks, Computerdeep learningdynamic multi-scaleprecision agriculturesesame fieldssmall-object detectionweed detectionYOLOv12

Identifiers

PMID41305135
PMCPMC12656398

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.