Evidence map›Paper›PMID 42100053›Full record

ArticleFrontiers in plant science2026

Evaluating UAV-based phenotyping strategies for

Guilherme Francio Niederauer, Alexandre Hild Aono, Mateus Figueiredo Santos, Celina de Medeiros Ragalzi, Liana Jank, Anete Pereira de Souza

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 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

6 authors.

Guilherme Francio NiederauerCenter for Plant Molecular Breeding (CeM²P), University of Campinas (UNICAMP), Campinas, SP, Brazil.
Alexandre Hild AonoDepartment of Plant Breeding, Swedish University of Agricultural Sciences (SLU), Alnarp, Sweden.
Mateus Figueiredo SantosCenter for Plant Molecular Breeding (CeM²P), University of Campinas (UNICAMP), Campinas, SP, Brazil.
Celina de Medeiros RagalziEmbrapa Beef Cattle, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Campo Grande, MS, Brazil.
Liana JankCenter for Plant Molecular Breeding (CeM²P), University of Campinas (UNICAMP), Campinas, SP, Brazil.
Anete Pereira de SouzaCenter for Plant Molecular Breeding (CeM²P), University of Campinas (UNICAMP), Campinas, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective high-throughput phenotyping is crucial for modern plant breeding, yet the optimal image acquisition parameters for UAV-based systems in forage crops remain poorly defined. We optimized UAV-based phenotyping methods for a

Indexed as

digital traitsforage breedinghigh-throughput phenotypingmachine learningremote sensingtrait prediction

Identifiers

PMID42100053
PMCPMC13143898

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.