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Flower Visitation through the Lens: Exploring the Foraging Behaviour of Bombus terrestris with a Computer Vision-Based Application

2024Journal article Open access
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dc.contributor.authorVarga-Szilay, Zsófia
dc.contributor.authorSzövényi, Gergely
dc.contributor.authorPozsgai, Gabor
dc.date.accessioned2024-10-02T10:49:05Z
dc.date.available2024-10-02T10:49:05Z
dc.date.issued2024
dc.description.abstractTo understand the processes behind pollinator declines and for the conservation of pollination services, we need to understand fundamental drivers influencing pollinator behaviour. Here, we aimed to elucidate how wild bumblebees interact with three plant species and investigated their foraging behaviour with varying flower densities. We video-recorded Bombus terrestris in 60 × 60 cm quadrats of Lotus creticus, Persicaria capitata, and Trifolium pratense in urban areas of Terceira (Azores, Portugal). For the automated bumblebee detection and counting, we created deep learning-based computer vision models with custom datasets. We achieved high model accuracy of 0.88 for Lotus and Persicaria and 0.95 for Trifolium, indicating accurate bumblebee detection. In our study, flower cover was the only factor that influenced the attractiveness of flower patches, and plant species did not have an effect. We detected a significant positive effect of flower cover on the attractiveness of flower patches for flower-visiting bumblebees. The time spent per unit of inflorescence surface area was longer on the Trifolium than those on the Lotus and Persicaria. However, our result did not indicate significant differences in the time bumblebees spent on inflorescences among the three plant species. Here, we also justify computer vision-based analysis as a reliable tool for studying pollinator behavioural ecology.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVarga-Szilay, Z., Szovenyi, G., & Pozsgai, G. (2024). Flower visitation through the lens: Exploring the foraging behaviour of Bombus terrestris with a computer vision-based application. Insects, 15(9), 729. DOI:10.3390/insects15090729 (IF2023 2,7; Q1 Entomology)pt_PT
dc.identifier.doi10.3390/insects15090729pt_PT
dc.identifier.eissn2075-4450
dc.identifier.urihttp://hdl.handle.net/10400.3/7157
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2075-4450/15/9/729pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPollinatorspt_PT
dc.subjectBumblebee Movementpt_PT
dc.subjectBehavioural Ecologypt_PT
dc.subjectPlant–Pollinator Interactionspt_PT
dc.subjectFlower Visitationpt_PT
dc.subjectDeep Learningpt_PT
dc.subjectComputer Visionpt_PT
dc.subjectYOLOpt_PT
dc.titleFlower Visitation through the Lens: Exploring the Foraging Behaviour of Bombus terrestris with a Computer Vision-Based Applicationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceSwitzerlandpt_PT
oaire.citation.issue9pt_PT
oaire.citation.titleInsectspt_PT
oaire.citation.volume15pt_PT
person.familyNameVarga-Szilay
person.familyNameSzövényi
person.familyNamePozsgai
person.givenNameZsófia
person.givenNameGergely
person.givenNameGabor
person.identifier.ciencia-idA21E-D087-9379
person.identifier.orcid0000-0001-9712-7654
person.identifier.orcid0000-0001-9632-4066
person.identifier.orcid0000-0002-2300-6558
person.identifier.ridJ-1538-2012
person.identifier.scopus-author-id55260489700
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationf6d207ae-e09c-4d2b-bf53-994e21a10c2c
relation.isAuthorOfPublication002c7695-b865-42ea-8cf5-1cbb6763605b
relation.isAuthorOfPublication86b75375-12c4-4790-bc78-0a2a085b0d32
relation.isAuthorOfPublication.latestForDiscovery002c7695-b865-42ea-8cf5-1cbb6763605b

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