Vehicle Color-Type Detection Based on YOLOv8 and K-Means

dc.contributor.authorÇiçek, İrem
dc.contributor.authorApaydın, Nafiye Nur
dc.contributor.authorKılıç, İrfan
dc.contributor.authorYaman, Orhan
dc.contributor.authorKaraköse, Mehmet
dc.date.accessioned2026-09-08T07:04:20Z
dc.date.issued2026
dc.departmentFırat Üniveristesi
dc.descriptionGrant No: 5220154
dc.description.abstractThere is provided a computing device for managing honeybee colonies for pollination of crop(s), comprises: a processor(s) configured for: for each one of a plurality of honeybee colonies positioned for pollination of crop(s) in a geographical area: obtaining in-colony feature(s), computed based on output of internal sensor(s) monitoring the honeybee colony, wherein the in-colony feature(s) is indicative of an internal state of the honeybee colony positioned for pollination of crop(s) in the geographical area, obtaining out-colony feature(s), computed based on output of external sensor(s) monitoring the environment of the honeybee colony, wherein the out-colony feature is indicative of an external environment of the honeybee colony, feeding a combination of the in-colony feature(s) and the out-colony feature(s) into a machine learning model, and obtaining an outcome indicating pollination effectiveness of the honeybee colony.
dc.description.sponsorshipTUBITAK (The Scientific and Technological Research Council of Turkey) under
dc.identifier.dergipark1951468
dc.identifier.doi10.54565/jphcfum.1951468
dc.identifier.endpage95
dc.identifier.issn2651-3080
dc.identifier.issue1
dc.identifier.orcid0009-0001-4932-8969
dc.identifier.orcid0009-0006-3438-7401
dc.identifier.orcid0000-0001-5079-2825
dc.identifier.orcid0000-0001-9623-2284
dc.identifier.orcid0000-0002-3276-3788
dc.identifier.startpage87
dc.identifier.urihttps://doi.org/10.54565/jphcfum.1951468
dc.identifier.urihttps://hdl.handle.net/11508/64681
dc.identifier.volume9
dc.language.isoen
dc.publisherNiyazi BULUT
dc.relation.ispartofJournal of Physical Chemistry and Functional Materials
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250903
dc.subjectVehicle color and type detections
dc.subjectTraffic Road Object Detection Dataset
dc.subjectYOLOv8
dc.subjectK-Means
dc.titleVehicle Color-Type Detection Based on YOLOv8 and K-Means
dc.typeArticle

Dosyalar