Evidence map›Paper›PMID 40432004›Full record

ArticleSensors (Basel, Switzerland)2025

Hazelnut Yield Estimation: A Vision-Based Approach for Automated Counting of Hazelnut Female Flowers.

Nicola Giulietti, Sergio Tombesi, Michele Bedodi, Carol Sergenti, Marco Carnevale, Hermes Giberti

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

6 authors.

Nicola GiuliettiDipartimento di Ingegneria Industriale e dell'Informazione, Università di Pavia, Via Adolfo Ferrata 5, 27100 Pavia, Italy.ORCID 0000-0001-9922-3201
Sergio TombesiDepartment of Sustainable Crop Production, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy.ORCID 0000-0002-5126-0561
Michele BedodiDepartment of Mechanical Engineering, Politecnico di Milano, Via La Masa 1, 20156 Milan, Italy.
Carol SergentiDipartimento di Ingegneria Industriale e dell'Informazione, Università di Pavia, Via Adolfo Ferrata 5, 27100 Pavia, Italy.ORCID 0009-0007-9414-2104
Marco CarnevaleDipartimento di Ingegneria Industriale e dell'Informazione, Università di Pavia, Via Adolfo Ferrata 5, 27100 Pavia, Italy.ORCID 0000-0001-6044-8323
Hermes GibertiDipartimento di Ingegneria Industriale e dell'Informazione, Università di Pavia, Via Adolfo Ferrata 5, 27100 Pavia, Italy.ORCID 0000-0001-8840-8497

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate estimation of hazelnut yield is crucial for optimizing resource management and harvest planning. Although the number of female flowers on a flowering plant is a reliable indicator of annual production, counting them remains difficult because of their extremely small size and inconspicuous shape and color. Currently, manual flower counting is the only available method, but it is time-consuming and prone to errors. In this study, a novel vision-based method for automatic flower counting specifically designed for hazelnut plants (

Indexed as

CorylusFlowersImage Processing, Computer-AssistedAlgorithmsHumansCorylus avellanafemale flower countinghazelnut treeimage tilingvision-based measurement system

Identifiers

PMID40432004
PMCPMC12116142

What OpenQuestion holds

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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.