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dc.contributor.authorDemirci, Osman
dc.contributor.authorVarul, Murat
dc.contributor.authorSenyer, Nurettin
dc.contributor.authorOdabas, Mehmet Serhat
dc.date.accessioned2020-06-21T13:51:05Z
dc.date.available2020-06-21T13:51:05Z
dc.date.issued2015
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.12712/14577
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.descriptionWOS: 000380500900548en_US
dc.description.abstractEfficiency of the products grown in field condition and the determination of this efficiencies can be determined at harvest time. Computer technology is the most widely used tool for precision farming applications in located yield estimation modeling. Knowing the number of plants per hectare is very important to yield estimate. To this end, remote sensing and image processing method is most widely used for precision agriculture application. Both satellite imagery as well as pictures taken by unmanned aerial vehicles using image processing methods models can be created yield prediction. On this study aimed to identify the number of plants under field conditions with low altitude viewing. At K-Means method was obtained %86.3, %80, %86.9 accuracy rates, at color-based segmentation method was obtained %89.2, %70.9, %91.3 accuracy rates.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn, Elect & Elect Engn, Bilkent Univen_US
dc.language.isoturen_US
dc.publisherIeeeen_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectsegmentationen_US
dc.subjectK-meansen_US
dc.subjectimage processingen_US
dc.subjectplant countingen_US
dc.subjectunmanned aerial vehicleen_US
dc.titlePlant Counting With Low Altitude Image Processingen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentOMÜen_US
dc.identifier.startpage2266en_US
dc.identifier.endpage2269en_US
dc.relation.journal2015 23Rd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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