Evidence map›Paper›PMID 39895663›Full record

ArticleData in brief2025

Annotated image dataset with different stages of European pear rust for UAV-based automated symptom detection in orchards.

Virginia Maß, Pendar Alirezazadeh, Johannes Seidl-Schulz, Matthias Leipnitz, Eric Fritzsche, Rasheed Ali Adam Ibraheem, Martin Geyer, Michael Pflanz, Stefanie Reim

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

9 authors.

Virginia MaßLeibniz Institute for Agricultural Engineering and Bioeconomy, Department Agromechatronics, Potsdam, Germany.
Pendar AlirezazadehLeibniz Institute for Agricultural Engineering and Bioeconomy, Department Agromechatronics, Potsdam, Germany.
Johannes Seidl-Schulzgeo-konzept, Gesellschaft für Umweltplanungssyteme mbH, Adelschlag, Germany.
Matthias Leipnitzgeo-konzept, Gesellschaft für Umweltplanungssyteme mbH, Adelschlag, Germany.
Eric FritzscheJulius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Breeding Research on Fruit Crops, Dresden, Germany.
Rasheed Ali Adam IbraheemJulius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Breeding Research on Fruit Crops, Dresden, Germany.
Martin GeyerLeibniz Institute for Agricultural Engineering and Bioeconomy, Department Agromechatronics, Potsdam, Germany.
Michael PflanzLeibniz Institute for Agricultural Engineering and Bioeconomy, Department Agromechatronics, Potsdam, Germany.
Stefanie ReimJulius Kühn-Institute, Federal Research Centre for Cultivated Plants, Institute for Breeding Research on Fruit Crops, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation of fruit genetic resources regarding a resistance to pathogens is an essential basis for subsequent selection in fruit breeding. Both genetic analysis and phenotyping of defined traits are important tools and provide decision data in the evaluation process. However, the phenotyping of plants is often carried out 'by hand' and remains the bottleneck in fruit breeding and fruit growing. The development of a digital and UAV (unmanned aerial vehicle)-based phenotyping method for the assessment of genotype-specific susceptibility or resistance against diseases in orchards would significantly increase the efficiency of plant breeding. In this framework, a workflow for drone-based monitoring of pathogens in orchards was developed using the European pear rust (

Indexed as

Drone monitoringGymnosporangium sabinaeMachine learningObject detectionPhenotypingYolo

Identifiers

PMID39895663
PMCPMC11783052

What OpenQuestion holds

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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.