Using Machine Learning Techniques In The Visual Detection Of Starlings In Vineyards

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but.event.date27.04.2021cs
but.event.titleSTUDENT EEICT 2021cs
dc.contributor.authorNovotný, Josef
dc.date.accessioned2023-01-06T10:05:43Z
dc.date.available2023-01-06T10:05:43Z
dc.date.issued2021cs
dc.description.abstractThis paper deals with the visual detection of starlings. The aim is to design an earlywarning detection system that protects crops from flocks of starlings. This system uses computervision and machine learning algorithms. In the first phase, the activity in the vineyard was collected.Further, the neural network model using a cloud-based AutoML platform was trained and evaluated.The final classifier distinguishes objects into several categories. These categories include individualbirds, flocks, and various unintended objects such as flies and bees. Overall, the flock detectionalgorithm achieved 89 % accuracy and 94% recall.en
dc.formattextcs
dc.format.extent102-105cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 27st Conference STUDENT EEICT 2021: Selected Papers. s. 102-105. ISBN 978-80-214-5943-4cs
dc.identifier.doi10.13164/eeict.2021.102
dc.identifier.isbn978-80-214-5943-4
dc.identifier.urihttp://hdl.handle.net/11012/200820
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 27st Conference STUDENT EEICT 2021: Selected papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectStarling detectionen
dc.subjectFlock detectionen
dc.subjectComputer visionen
dc.subjectMachine Learningen
dc.titleUsing Machine Learning Techniques In The Visual Detection Of Starlings In Vineyardsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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